QUESTION 18 What can you say about the slope of the least-squares regression line in the scatterplot below? Chirps per sec 20 26- 19 18 17 E. 25 25 A. The slope is positive. B. The slope is negative. C. The slope is zero. D. The slope varies.

The percentage of the variation in the value of y this is explained by the lease squares regression line is Group of answer choices   ρ the slope of the regression line. the correlation coefficient. the coefficient of determination. the y-intercept of the regression line.   The data below shows the summary statistics for a regression analysis on car weight (in metric tons) and fuel consumption (in miles per gallon). b0=48.8b0=48.8  b1=−8.37b1=−8.37  r2=0.36r2=0.36    (Note that 0.362=0.13 and 0.36−−−−√=0.6)(Note that 0.362=0.13 and 0.36=0.6)        Choose the correct interpretation of the y-intercept of the line:

A simple regression model for 10 pair of data resulted in a standard error of 3.95 (i.e., Se = 3.95), and the. The sum of squares of error (SSE) is ______.   a. 187.23   b. 171.63   c. 156.03   d. 140.42   e. 124.82

Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the-high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y D 2. 19.44 3. 19.8 4 16.96 16.42 6. 14.78 7 14.94 8. 12.5

Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Assume that temperature is independent each year. Based on the data shown below, calculate the regression line (each value to two decimal places). First the slope and then the y-intercept. Y X 3 4 5 67 8 00 a 9 y 10.14 10.85 11.86 11.17 7.58 9.79 7.5 x+

Use the data in the table below to complete parts (a) through (d). 39 33 40 47 42 50 59 56 51 24 22 27 32 30 31 31 27 29 Click the icon to view details on how to construct and interpret residual plots. (a) Find the equation of the regression line. (Round to three decimal places as needed.) (b) Construct a scatter plot of the data and draw the regression line. Plot the x-values on the horizontal axis and the y-values on the vertical axis. Choose the correct graph below. OA. В. Oc. OD. 34 70, (c) Construct a residual plot. Plot the x-values on the horizontal axis and the residuals on the vertical axis. Choose the correct graph below. O A. Ов. Oc. OD. (d) Determine if there are any patterns in the residual plot and explain what they suggest about the relationship between the variables. The residual plot a pattern because the residuals about 0. This implies the regression line a good representation of the relationship between the variables.

In bivariate regression, the value of Y when X equals 0 is:  Group of answer choices Intercept (b0) Residual Slope (b1)