Q.1) The regression equation is,
Y = 823 - 3.67X
Where,
Intercept : 823
Slope : -3.67
Q.2) The regression equation is,
Y = 93.3 - 7.89X
Sample slope = -7.89
p-value = 0.000
Here, p-value = 0.000 <
Implies that model is effective.
Q.3) The regression equation is,
Y = 84.8 - 0.0154X
Sample slope = -0.0154
p-value = 0.245
Here, p-value = 0.245 >
Implies that model is not effective.
Chapter 9, Section 1, Exercise 002 Use the computer output to estimate the intercept β0 and...
Chapter 9, Section 1, Exercise 001 XIncorrect. Use the computer output to estimate the intercept β0 and the slope The regression equation is Y 26.5 +3.19X Predictor Coef SE Coef T Constant 26.5445.733 4.63 0.000 3.189 0.4803 6.64 0.000 24.145 Intercept βο Slope 1 Click if you would like to Show Work for this question: Open Show Work
Chapter 9, Section 1, Exercise 002 Use the computer output to estimate the intercept BO and the slope B1. The regression equation is Y=806-2.5X . Predictor Coef SE Coef T P Constant 806.277 87.64 9.20 0.000 -2.504 0.821 -3.05 0.006 Intercept BO: Slope B1: Don't show me this message again for the assignment Click if you would like to Show Work for this question:Open Show Work
Chapter 9, Section 1, Exercise 001 Use the computer output to estimate the intercept beta Subscript 0 and the slope beta Subscript 1. The regression equation is Upper Y equals 24.0 plus 4.89 Upper X. Predictor Coef SE Coef T P Constant 24.038 5.192 4.63 0.000 Upper X 4.886 0.7358 6.64 0.000 Intercept beta Subscript 0 Baseline colon Slope beta Subscript 1 Baseline colon