Using the SAS code and outputs below, answer the following questions. a) Which pair of variables...

     

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Using the SAS code and outputs below, answer the following questions. a) Which pair of variables is the most positively correlated and gives the associated correlation and p-value? b) Which pair of variables is the most negatively correlated (if any) otherwise the least correlated and give the associated correlation and p-value? c) What is the null hypothesis used in PROC CORR? d) Name the parameter being tested and its value under the null in PROC CORR. 1+1+2+1 5 marks Code: proc corr data=Dataset cov; var NSTCI HATCI RDTCI PTCI; run; Output: The CORR Procedure 4 Variables: NSTCI HATCI RDTCI PTCI NSTC Covariance Matrix, DF = 48 HATCI RDTCI NSTC 66006347183 02004532743 01027852040 PTCI 0.2850000643 HATCI 0.2604530743 0.0413271914 0.2809459655 0.3988433201 RDTCI 0.1627950640 0.2899459655 0.7275765251 0.4435327721 PTCI 0.2858888843 0.3988433201 0.4435327721 0.6350811207 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum NSTCI 49 1.12817 0.77514 55.28020 0.08330 3.08330 HATCI 49 1.82222 0.80083 RDTCI 49 1.67347 0.85298 82.00000 PTCI 40 2.50327 0.79748 122.68010 89.28890 0 3.20000 0 3.22220 0.53850 3.69230 Pearson Correlation Coefficients, N = 49 Probir under H0: Rho-0 NSTCI HATCI RDTCI PTCI NSIC 1.00000 0.41968 0.24822 0.46213 0.0027 0.0881 0.0008 HATCI 0.41958 1.00000 0.42448 0.62138 0.0024 Code: proc sgscatter data=Dataset; matrix NSTCI HATCI RDTCI PTCI; run; Output: NSTC 2 2 2 HATCI 3 3 ROTCI PTC Using the SAS code and outputs below, answer the following questions. a) Which pair of variables is the most positively correlated and gives the associated correlation and p-value? b) Which pair of variables is the most negatively correlated (if any) otherwise the least correlated and give the associated correlation and p-value? c) What is the null hypothesis used in PROC CORR? d) Name the parameter being tested and its value under the null in PROC CORR. 1+1+2+1 5 marks Code: proc corr data=Dataset cov; var NSTCI HATCI RDTCI PTCI; run; Output: The CORR Procedure 4 Variables: NSTCI HATCI RDTCI PTCI NSTC Covariance Matrix, DF = 48 HATCI RDTCI NSTC 66006347183 02004532743 01027852040 PTCI 0.2850000643 HATCI 0.2604530743 0.0413271914 0.2809459655 0.3988433201 RDTCI 0.1627950640 0.2899459655 0.7275765251 0.4435327721 PTCI 0.2858888843 0.3988433201 0.4435327721 0.6350811207 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum NSTCI 49 1.12817 0.77514 55.28020 0.08330 3.08330 HATCI 49 1.82222 0.80083 RDTCI 49 1.67347 0.85298 82.00000 PTCI 40 2.50327 0.79748 122.68010 89.28890 0 3.20000 0 3.22220 0.53850 3.69230 Pearson Correlation Coefficients, N = 49 Probir under H0: Rho-0 NSTCI HATCI RDTCI PTCI NSIC 1.00000 0.41968 0.24822 0.46213 0.0027 0.0881 0.0008 HATCI 0.41958 1.00000 0.42448 0.62138 0.0024 Code: proc sgscatter data=Dataset; matrix NSTCI HATCI RDTCI PTCI; run; Output: NSTC 2 2 2 HATCI 3 3 ROTCI PTC