The residual plot for a linear regression model is shown below. Which of the following is true? (a) A linear model is okay because the association between the two variables is fairly strong. (b) The linear model is not good because the correlation is near 0. (c) The linear model is not good because some residuals are large. (d) The linear model is not good because of the curvature in the residuals.
The p-value of testing the slope equals 0 in a simple regression is 0.45. Then (a) Ho: B1=0 should be retained. (b) the data suggests that the predictor x is not helpful in predicting the response y. (c) the slope is less than 1 SE from zero. (d) all the above are correct.
The following results were obtained from a simple regression analysis: ŷ = 27.2895 – 1.2024x p2 r2 = 0.6744, sê = = 0.2934
For each unit change in the independent variable x, the estimated change in the mean value of the dependent variable y is equal to (a) -1.2024 (b) 0.6774 (c) 37.2895 (d) 0.2934
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!