Parameter Estimates | ||||||
Term | Estimates | Std. Error | t ratio | Prob>t | Lower 95% | Upper 95% |
Intercept | 1905.6886 | 4980.846 | 0.38 | 0.7055 | -8397.977 | 12209.354 |
Attendance | 130.12126 | 25.15707 | 5.17 | <0.0001 | 78.079888 | 182.16263 |
Wedding Cost | Attendance | Predicted Cost | Lower 95% Mean | Upper 95% Mean | Lower 95% Indiv. | Upper 95% Indiv. |
175 | 24676.90868 | 20843.82246 | 28509.994905 | 5272.7342924 | 44081.083073 |
We have created a regression model to predict wedding cost based on attendance.
a. Use the model to make an interval estimate the average cost of a wedding with 175 guests in attendance.
b. Use the model to find a point estimate for the cost of a wedding with 300 guests?
Parameter Estimates Term Estimates Std. Error t ratio Prob>t Lower 95% Upper 95% Intercept 1905.6886 4980.846...
Use the Regression tool on the accompanying wedding data, using the wedding cost as the dependent variable and attendance as the independent variable. Complete parts a through c. Click the icon to view the wedding data. a. What is the regression model? Wedding Cost =+Attendance (Round to three decimal places as needed.) b. Interpret all key regression results, hypothesis tests, and confidence intervals in the regression output from part a. Interpret the slope of the regression equation. Choose the correct...