CES-D Composite Hours Worked Last Week 3 2 0 3 0 2 4 3 4 10 15 4 4 2 35 48 50 35 40 50 26 45 45 19 16 30 15 65 4 5 2 0 2 5 0 1 1 1 4 6 0 5 1 3 1 5 1 3 9 2 2 3 4 3 8 6 40 30 40 50 75 40 65 38 55 48 50 15 60 60 39 46 54 28 64 70 45 44 4 40 65 50 60 50 SUMMARY OUTPUT Regression Statistics Multiple R 0.160688019 R Square 0.02582064 Adjusted R Square 0.015880034 Standard Error 2.524740385 Observations 100 ANOVA df Regression Residual Total Intercept Hours Worked Last Week 1 98 99 Coefficients 4.334382563 -0.025623243 1 the p-value for the test, p = 0.11. Since p > 0.05, retain the null hypothe 2 Average hours worked per week 3 Average CES-D 4 Regression line y - CES-D composite x - hours worked intercept, a slope, b 5 Y represents 2 8 6 6 5 1 7 3 1 3 1 4 2 1 2 7 2 4 1 5 0 3 2 1 6 8 0 2 0 5 2 5 3 6 2 8 0 4 0 3 4 2 2 1 4 1 2 24 45 45 32 40 25 40 12 18 37 37 40 25 40 38 45 32 40 40 17 39 40 40 55 55 40 40 40 32 60 32 40 40 40 30 30 50 45 80 50 32 45 89 40 40 28 50 x represents 6 Item that tells relationship in a linear model is the slope 7 Nature of the relationship is given by the sign of the slope slope = -0.03 hours worked and CES-D have negative lin means an increase in x (hours worked) lea 8 Coefficient of determination =R Square 9 Standard error of the estimate =Standard Error 10 Is there significant linear relationship? check p-value for slope p- value = 0.11 Since p-value > 0.05, no linear relationship 11 What is used to make the determination p-value for s ...
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