CO 3) The regression statistic that measures the accuracy of regression predictions is the
Group of answer choices
correlation coefficient.
standard error of the estimate.
coefficient of determination.
t-statistic.
The regression statistic that measures the accuracy of regression predictions is the standard error of the estimate. |
The standard error of the estimate is calculated as square root of the average squared deviation. |
The Predictions are deemed to be more accurate when the the standard error of the estimate are smaller. |
Option B is correct |
CO 3) The regression statistic that measures the accuracy of regression predictions is the Group of...
If the Durbin-Watson statistic is greater than 3, then
Group of answer choices
positive serial correlation is likely an issue.
non-stationarity is likely an issue.
negative serial correlation is likely an issue.
spurious regression is likely an issue.
Suppose you estimate a multiple regression model using OLS and
the coefficient of determination is very high (above 0.8), while
none of the estimated coefficients are (individually) statistically
different from zero at the 5-percent level of significance. The
most likely reason for...
Finding Measures of variation. In Exercises find the (a) explained variation (b) unexplained variation, (c) total variation, (d) coefficient of determination, and (e) standard error of estimate se. In each case, there is a significant linear correlation so that it is reasonable to use the regression equation when making predictions.Cholesterol and BMI Refer to the paired cholesterol/BMI data for women as listed in Data Set 1 in Appendix B. (Let x represent the cholesterol levels.)
In general, if the regression F statistic is zero, which of the following is true? The slope is zero O The standard error of the estimate is zero The coefficient of determination (R2) is 1 O Your calculator is broken
The coefficient of determination R2 in a simple regression model, Group of answer choices a) measures the proportion of variation in the response variable that is explained by the predictor variable b) determines the predicted value of the response variable given a value for the predictor variable c) estimates the difference between averages in the response variable when the predictor variable differs by 1 d) indicates the predictive ability of the model
Given the following ANOVA table: Source DF SS MS F Regression 1 1,050 1,050.00 24.00 Error 12 525 43.75 Total 13 1,575 a. Determine the coefficient of determination.(Round your answer to 2 decimal places.) Coefficient of determination _____ b. Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Coefficient of correlation _____ c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate...
12. The______ measures the reliability of the estimation equation. a. standard deviation b. Standard error of the estimate c. Type 1 error d. Type 11 error 13. The________ is similar to the standard deviation in that both are measures of variability. a. variance b. standard error of the estimate c. type 1 error d. type 11 error 15. The __________ is used to describe the correlation between two variables. a. coefficient of determination b. correlation coefficient c. intelligence coefficient d....
SECTION 9.3 Measures of Regression and Prediction Intervals 505 12.)Earnings of Men and Women The table shows the median annual earnings (in dollars) of male and female workers from 10states in a recent year. The equation of the regression line is 1.005x 10,770.313. Source .S. Census Burean) Median annual earnings so.976 46,763 46,934 of male workers, r Median annual earg 40.214 36.834 36,841 31 110 40.173 of female workers, y Median annual earnings of male workers, x 47.092 51.628 46.123...
Given the following ANOVA table: Source DF SS MS F Regression 1 1,500.0 1,500.00 24.00 Error 12 750.0 62.50 Total 13 2,250.0 Determine the coefficient of determination. (Round your answer to 3 decimal places.) Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Determine the standard error of estimate. (Round your answer to 2 decimal places.)
Given the following ANOVA table: Source DF SS MS F Regression 1 1,190.0 1,190.00 38.90 Error 17 520.0 30.59 Total 18 1,950.0 Determine the coefficient of determination. (Round your answer to 3 decimal places.) Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Determine the standard error of estimate. (Round your answer to 2 decimal places.)
Given the following ANOVA table: Source Regression Error Total F 24.00 DF 1 12 13 SS 1,050.0 525.0 1,575.0 MS 1,050.00 43.75 a. Determine the coefficient of determination. (Round your answer to 3 decimal places.) Coefficient of determination c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate