For this Practice Activity,

1. Use all the variables in the dataset
2. Create a correlation matrix of all the variables
3. Which pairs are correlated?
4. Run factor Analysis using all the variables
5. Obtain the scree plot & the Eigenvalue
6. Based on the scree plot, how many factors are optimal?
7. Under the model launch test the number of factors that is optimal
   1. Type 1 in the number of factors. Leave all the default settings, Select go. Report the estimates for the significant test. Is one factor sufficient?
   2. Repeat this step- click the arrow next to the Model Launch and type two in the number of factors box. Based on the significance test, are two factors sufficient?
8. If so, what at the variables loading on Factor 1 and Factor 2?
9. What do you think these variables describe?
10. Using your correlation matrix, describe the correlation between the variables loading for each factor.
11. Which variable is the least important in explaining the variance and factors in this dataset?
    

weight waist pulse (Ibs) (in) (BPM) chins situps jumps 191 36 50 5 162 60 189 37 52 2 110 60 193 38 58 12 101 101 4 162 35 62 12 105 37 5 189 35 46 13 155 58 6 182 36 56 4 101 42 7 211 38 56 8 101 38 8 167 34 60 6 125 40 9 176 31 74 15 200 40 10 154 33 56 17 251 250 11 169 34 50 17 120 38 12 166 33 52 13 210 115 13 154 34 64 14 215 105 14 247 46 50 1 50 50 15 193 36 46 6 70 31 16 202 37 62 12 210 120 17 176 37 54 4 60 25 18 157 32 52 11 230 80 19 156 33 54 15 225 73 20 138 33 68 2 110 43