R and/or R Studio required, please help!

Use loanapp.dta for this problem set. 1. (10 points) Note approve = 1 if a mortgage loan to an applicant is approved and 0 otherwise. appinc = applicant income in thousands of dollars. married = 1 if applicant is married and 0 otherwise. (a) Find the averages of approve, appinc and married. (b) Find the average of income for married applicants. Find the average of income for non-married applicants. Which income is higher? 2. (10 points) Draw and attach two scatter plots. In the first scatter plot, place approve on the vertical axis and appinc on the horizontal axis. Add an appropriate title to your plot. Is there a positive relationship between the two? In the second scatter plot, place loanamt on the vertical axis and appinc on the horizontal axis. Note loanamt = the amount of loan in thousands of dollars. Add an appropriate title to your plot. Is there a positive relationship between the two? 3. (10 points) After estimating approve = Bo + Biappinc + by OLS, interpret the estimated slope coefficient, paying a particular attention to the fact that approve is a dummy variable. 4. (10 points) Estimate the probit model of approve on appinc. (a) Write an expression for the estimated probability of loan approval, P(approve = 1|appinc). (b) Find the PEA of appinc on the probability of loan approval (PEA means that we're using the average value of appinc in computing the partial effect), treating appinc as a continuous variable. You may use dnorm in R: try > ?dnorm and read the R help menu. 5. (10 points) Estimate the probit model of approve on appinc and married. We want to report the partial effect of married on the probability of loan approval. Find a numerical value for the partial effect of married on approve. (Note married is a dummy variable: do NOT use a derivative, here.) pnorm in R is useful: try > ?pnorm. action typer dap emp yjob appine 72 74 0 0 0 0 1 1 1 1 1 1 3 1 1 suffolk 0 0 . 0 0 0 0 3 89 128 128 66 120 111 141 276 1 0 0 married 0 0 1 0 1 1 . 1 1 1 1 D 84 36 59 63 72 90 72 0 8 6 D 0 1 O 0 1 0 0 0 0 0 0 0 1 2 0 0 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 001 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 6 1 0 0 1 1 0 9 1 1 1 1 1 3 1 1 1 97 0 0 1 1 4 0 O 48 0 D 0 D 0 33 0 1 1 1 2 1 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 0 0 1 1 0 1 D 0 & 1 1 2 1 1 1 1 1 267 175 95 158 110 40 70 108 114 349 183 126 100 70 125 130 109 200 114 17 208 125 187 100 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 98 285 99 55 666 47 1 1 1 1 Il 1 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 2 1 1 0 1 0 2 0 0 2 2 0 2 2 D 0 0 59 msa 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 11 20 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 11 20 1120 1120 1120 11.20 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1 I 1 9 9 1 3 1 1 0 0 0 1 0 0 0 0 1 1 1 1 1 52 117 56 31 1 3 1 1 1 0 0 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 0 0 0 0 0 64 127 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 1 1 D 1 0 D 0 0 100 65 1 3 1 0 2 0 0 666 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 0 666 63 31 I 1 1 1 1 1 0 $ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 106 92 1 3 1 1 1 1 3 1 1 1 3 1 0 0 1 1 1 1 1 1 1 1 0 0 76 121 133 140 20 115 252 104 100 100 315 116 632 112 112 78 151 115 152 59 147 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 123 139 62 351 0 0 0 1 0 0 0 0 2 0 0 1 6 0 0 0 0 0 0 0 0 0 1 1 0 8 6 0 0 D 0 0 0 0 D 1 0 D 0 1 09 0 0 0 0 1 1 1 1 0 0 0 0 0 1 0 1 2 1 1 D 2 1 1 1 1 1 0 1 1 1 1 1 2 1 1 1 0 3 0 0 2 1 1 1 1 3 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 D 1 1 2 0 0 2 OR 0 3 0 1 1 39 74 57 72 27 54 44 55 157 10 103 119 275 40 52 115 0 0 0 0 U 0 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 D ( 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 11.20 1120 1120 1120 1120 1120 1120 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 3 1 2 1 0 130 280 175 187 310 345 90 115 191 123 122 68 128 134 1 1 1 1 8 1 3 0 0 O 0 O 0 0 0 0 D 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 D D 0 0 0 0 1 ! 1 0 0 61 61 35 72 57 35 63 71 95 64 14 1 1 0 1 0 1 0 1 1 1 1 1 1 D 0 1 1 1 1 0 0 1 72 110 138 248 99 187 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 D 0 1) 0 1 1 1 0 0 06 OEI 2 1 1 1 1 1 1 1 1 1 3 1 0 0) O 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1110 132 162 40 150 14 35 120 50 0 1 1 0 0 0 0 0 D 0 7 2 0 2 2 2 0 2 0 1 0 0 0 0 1 1 1 4 0 0 0 2 0 0 0 1 1 27 27 35 59 53 50 66 43 17 70 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 9 0 3 5 1 1 1 1 1 1 1 1 1 1 i 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 6 6 0 0 0 D 1 0 0 0 0 0 1 0 0 3 1 0 0 6 ! 1 1 ORI 0 0 0 1 157 288 0 1 0 1 1 1 D 0 732 201 2 0 1 LRT mint0 bd mi old vr sh hispan male 0 0 D O 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 1 1 0 1 0 0 1 1 1 1 1 0 ! ! 1 Mark 0 0 0 0 0 0 1 0 0 o 0 0 0 0 0 0 1 1 1 0 O O 0 0 0 0 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 review met unen 19950000 3.2 000 47 3 40 3.9000001 158 3.0999999 2 69 4.3000002 1 262 3.2 1 46 1 214 3.2 3 38.799 1.8 2 374 3.0999999 1348. 39999 5.3000002 2 660) 1998 3.2 3 719 10.6 2 345 3.0999999 155 10.6 1 3.2 2 83.099 1 514 10.6 3 598 3.0000001 3.2 2 21 3.2 1 681 3.2 1 229 59 3.9000001 2 126 4.3000002 2 196 3.0999999 3 60.084 3.2 3 110.47 3.2 1 1 1.8 1 53 3.2 3 175 3.0999999 690 0 0 1 1 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 666 O 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 1 0 1 0 1 1 0 0 O O 0 0 0 0 0 0 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 1 1 1 0 1 1 1 1 1 0 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 666 S 1 1 0 0 1 1 0 0 1 1 0 0 1 0 0 0 1 0 1 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 1 1 0 1 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 O 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 1 1 1 1 1 0 ! 1 1 1 ! 1 1 1 1 1 1 0 0 0 0 1 1 0 0 1 0 ! 1 0 0 1 1 1 ! 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 0 1 V 1 0 0 0 0 0 0 1 1 1 0 0 1 1 1 1 0 0 O 1 1 1 0 0 0 0 0 0 0 0 0 0 O 0 0 O 0 0 0 0 1 0 1 0 0 0 0 1 0 1 1 1 1 0 ! 0 0 1 1 1 23.159 3.9000001 1 27 5.3000002 999 3.2 1 95 3.9000001 2 106 3.2 099 -85 3.9000001 www! 1 1 34 4.3000002 2 52 3.5999999 S 208 3.5999999 2 5999999 1 195 3.2 099 25 999 66 699097 3.2 0 36 3.2 3 1 1 756 10,6 2 291 5.3000002 999 104 3.9000001 10 3.2 1 1 10.6 5 55 10.6 2 14 2 0 64 3.9000001 999 65 3 42 3.0999999 4 337.89999 3.5999999 999 169 3.5999999 3 167.88 5.3000002 099 193 3.2 2 600 3.2 2 113 3.2 999 225 4.5000002 261 3.0999999 0 62 3.9000001 2 2 999 188 4.3000002 2 107 2 1 65 10.6 1 114 3.9000001 45.326 8.8999996 1 20.198 3.2 270 3.2 3 1395 10.6 999 222 4.3000002 3 965 3.0999999 2 1.8 2 32 3.9000001 2 46 3.2 3 3 39.486 2 102 3.0999999 2 61 613.0000000 1 23 5.300000 1 87.986 8.8999996 1 55 3.2 4 2143 3.5999999 318 3.9000001 1550 46 3.0999999 O 0 0 0 0 0 0 0 0 0 1 1 ! 1 1 0 0 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 1 0 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 1 1 1 1 1 1 1 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 O 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 E 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 EE 1 1 0 0 1 1 0 0 0 0 0 0 0 0 o 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 0 1 1 1 1 1 1 1 0 0 1 0 0 0 0 0 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 0 0 0 1 0 0 0 0 hhh 0 1 1 1 1 0 0 0 0 0 0 0 O 0 0 1 1 1 0 0 0 0 1 1 1 1 1 CE Lice Taile ress Use loanapp.dta for this problem set. 1. (10 points) Note approve = 1 if a mortgage loan to an applicant is approved and 0 otherwise. appinc = applicant income in thousands of dollars. married = 1 if applicant is married and 0 otherwise. (a) Find the averages of approve, appinc and married. (b) Find the average of income for married applicants. Find the average of income for non-married applicants. Which income is higher? 2. (10 points) Draw and attach two scatter plots. In the first scatter plot, place approve on the vertical axis and appinc on the horizontal axis. Add an appropriate title to your plot. Is there a positive relationship between the two? In the second scatter plot, place loanamt on the vertical axis and appinc on the horizontal axis. Note loanamt = the amount of loan in thousands of dollars. Add an appropriate title to your plot. Is there a positive relationship between the two? 3. (10 points) After estimating approve = Bo + Biappinc + by OLS, interpret the estimated slope coefficient, paying a particular attention to the fact that approve is a dummy variable. 4. (10 points) Estimate the probit model of approve on appinc. (a) Write an expression for the estimated probability of loan approval, P(approve = 1|appinc). (b) Find the PEA of appinc on the probability of loan approval (PEA means that we're using the average value of appinc in computing the partial effect), treating appinc as a continuous variable. You may use dnorm in R: try > ?dnorm and read the R help menu. 5. (10 points) Estimate the probit model of approve on appinc and married. We want to report the partial effect of married on the probability of loan approval. Find a numerical value for the partial effect of married on approve. (Note married is a dummy variable: do NOT use a derivative, here.) pnorm in R is useful: try > ?pnorm. action typer dap emp yjob appine 72 74 0 0 0 0 1 1 1 1 1 1 3 1 1 suffolk 0 0 . 0 0 0 0 3 89 128 128 66 120 111 141 276 1 0 0 married 0 0 1 0 1 1 . 1 1 1 1 D 84 36 59 63 72 90 72 0 8 6 D 0 1 O 0 1 0 0 0 0 0 0 0 1 2 0 0 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 001 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 6 1 0 0 1 1 0 9 1 1 1 1 1 3 1 1 1 97 0 0 1 1 4 0 O 48 0 D 0 D 0 33 0 1 1 1 2 1 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 0 0 1 1 0 1 D 0 & 1 1 2 1 1 1 1 1 267 175 95 158 110 40 70 108 114 349 183 126 100 70 125 130 109 200 114 17 208 125 187 100 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 98 285 99 55 666 47 1 1 1 1 Il 1 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 2 1 1 0 1 0 2 0 0 2 2 0 2 2 D 0 0 59 msa 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 11 20 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 11 20 1120 1120 1120 11.20 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1 I 1 9 9 1 3 1 1 0 0 0 1 0 0 0 0 1 1 1 1 1 52 117 56 31 1 3 1 1 1 0 0 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 0 0 0 0 0 64 127 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 1 1 D 1 0 D 0 0 100 65 1 3 1 0 2 0 0 666 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 0 666 63 31 I 1 1 1 1 1 0 $ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 106 92 1 3 1 1 1 1 3 1 1 1 3 1 0 0 1 1 1 1 1 1 1 1 0 0 76 121 133 140 20 115 252 104 100 100 315 116 632 112 112 78 151 115 152 59 147 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 123 139 62 351 0 0 0 1 0 0 0 0 2 0 0 1 6 0 0 0 0 0 0 0 0 0 1 1 0 8 6 0 0 D 0 0 0 0 D 1 0 D 0 1 09 0 0 0 0 1 1 1 1 0 0 0 0 0 1 0 1 2 1 1 D 2 1 1 1 1 1 0 1 1 1 1 1 2 1 1 1 0 3 0 0 2 1 1 1 1 3 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 D 1 1 2 0 0 2 OR 0 3 0 1 1 39 74 57 72 27 54 44 55 157 10 103 119 275 40 52 115 0 0 0 0 U 0 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 D ( 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 11.20 1120 1120 1120 1120 1120 1120 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 3 1 2 1 0 130 280 175 187 310 345 90 115 191 123 122 68 128 134 1 1 1 1 8 1 3 0 0 O 0 O 0 0 0 0 D 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 D D 0 0 0 0 1 ! 1 0 0 61 61 35 72 57 35 63 71 95 64 14 1 1 0 1 0 1 0 1 1 1 1 1 1 D 0 1 1 1 1 0 0 1 72 110 138 248 99 187 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 D 0 1) 0 1 1 1 0 0 06 OEI 2 1 1 1 1 1 1 1 1 1 3 1 0 0) O 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1110 132 162 40 150 14 35 120 50 0 1 1 0 0 0 0 0 D 0 7 2 0 2 2 2 0 2 0 1 0 0 0 0 1 1 1 4 0 0 0 2 0 0 0 1 1 27 27 35 59 53 50 66 43 17 70 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 9 0 3 5 1 1 1 1 1 1 1 1 1 1 i 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 6 6 0 0 0 D 1 0 0 0 0 0 1 0 0 3 1 0 0 6 ! 1 1 ORI 0 0 0 1 157 288 0 1 0 1 1 1 D 0 732 201 2 0 1 LRT mint0 bd mi old vr sh hispan male 0 0 D O 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 1 1 0 1 0 0 1 1 1 1 1 0 ! ! 1 Mark 0 0 0 0 0 0 1 0 0 o 0 0 0 0 0 0 1 1 1 0 O O 0 0 0 0 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 review met unen 19950000 3.2 000 47 3 40 3.9000001 158 3.0999999 2 69 4.3000002 1 262 3.2 1 46 1 214 3.2 3 38.799 1.8 2 374 3.0999999 1348. 39999 5.3000002 2 660) 1998 3.2 3 719 10.6 2 345 3.0999999 155 10.6 1 3.2 2 83.099 1 514 10.6 3 598 3.0000001 3.2 2 21 3.2 1 681 3.2 1 229 59 3.9000001 2 126 4.3000002 2 196 3.0999999 3 60.084 3.2 3 110.47 3.2 1 1 1.8 1 53 3.2 3 175 3.0999999 690 0 0 1 1 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 666 O 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 1 0 1 0 1 1 0 0 O O 0 0 0 0 0 0 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 1 1 1 0 1 1 1 1 1 0 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 666 S 1 1 0 0 1 1 0 0 1 1 0 0 1 0 0 0 1 0 1 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 1 1 0 1 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 O 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 1 1 1 1 1 0 ! 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1 1 0 0 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 1 0 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 1 1 1 1 1 1 1 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 O 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 E 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 EE 1 1 0 0 1 1 0 0 0 0 0 0 0 0 o 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 0 1 1 1 1 1 1 1 0 0 1 0 0 0 0 0 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 0 0 0 1 0 0 0 0 hhh 0 1 1 1 1 0 0 0 0 0 0 0 O 0 0 1 1 1 0 0 0 0 1 1 1 1 1 CE Lice Taile ress