From the Data Bank, choose two variables that might be related: for example, IQ and educational level; age and cholesterol level; exercise and weight; or weight and systolic pressure. Do a complete correlation and regression analysis by performing the following steps. Select a random sample of at least 10 subjects.
a. Draw a scatter plot.
b. Compute the correlation coefficient.
c. Test the hypothesis H₀ : p = 0.
d. Find the regression line equation if r is significant.
e. Summarize the results.

Data from in Data Bank

Transcribed Image Text:

Data Bank ID number Age 09 10 Educational level 65 36 Smoking status 01 27 2 1 1 02 18 1 0 1 03 32 2 0 0 04 24 2 0 1 05 19 1 2 0 06 56 1 0 0 07 1 2 0 08 2 1 0 SER 43 1 0 1 47 1 1 1 Exercise Weight 120 145 118 162 106 143 160 215 127 132 Serum cholesterol Systolic pressure 01 Sodium 118 136 137 135 142 133 138 140 193 126 210 120 105 196 128 115 208 129 108 188 119 106 206 136 111 240 131 99 215 163 106 151 201 132 111 134 215 138 109 135 Gender F M F M F F M M F F 33 Marital status M M M S W W D M D