Exam 14: Simple Linear Regression Analysis

The following time-sequenced observations of actual and predicted values of the dependent variable (demand) are obtained from a simple regression model. Determine the Durbin-Watson statistic (d).

Consider the following partial computer output from a simple linear regression analysis. S = .4862R-Sq = ________ Analysis of Variance Calculate the SSE.

For the same value of X (independent variable), the confidence interval for the average value of Y (dependent variable) is ________ the prediction interval for the individual value of Y.

Consider the following partial computer output from a simple linear regression analysis. S = .4862R-Sq = ________ Analysis of Variance What is the predicted value of y when x = 9.00?

A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising. He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars). Based on the data set with 6 observations, the simple linear regression model yielded the following results. ∑X = 24 ∑X² = 124 ∑Y = 42 ∑Y² = 338 ∑XY = 196 Find the estimated slope.

What value of the Durbin-Watson statistic indicates that there is no autocorrelation present in time-ordered data?

The correlation coefficient is the ratio of explained variation to total variation.