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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

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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. X Wedding Attendance and Cost THE CUCHIICICIIL UI UELEIIIIIIIaLIUII IS A - | |. IIIIs value is ute pIUPUILUI UI vallaLIUII III weuuIlly cust Wiat Is explained by we vallauoII III allenlualive. O D. The coefficient of determination is R" = . This value is the proportion of variation in attendance that is explained by the variation in wedding cost. Wedding Cost Attendance 60700 300 Interpret the values given in the test of the population slope. Use a 0.05 level of significance. State the null and alternative hypotheses the test. 51000 350 49000 150 Ho: = o 43000 200 Hy : B1 # 0 35000 250 (Type integers or decimals. Do not round.) 31000 150 29500 250 Identify the test statistic. 29000 300 1=] 28000 250 (Round to two decimal places as needed.) 26000 200 25000 150 Identify the p-value. 24000 200 The p-value is 23000 200 (Round to three decimal places as needed.) 23000 200 21000 200 State the conclusion. 21000 200 Reject Ho. There is sufficient evidence of a linear relationship between wedding cost and attendance. 20000 100 20000 150 Identify and interpret the 95% confidence interval estimate of the population slope. 20000 200 18000 150 The confidence interval is S B1 S . With 95% confidence, it can be said that true expected mean increase in | wedding cost per additional person attending 16000 100 (Round to three decimal places as needed.) 16000 100 c. If a couple is planning a wedding for 125 guests, how much should they budget? 13000 150 6000 50 They should budget $. 3000 50 (Round to the nearest dollar as needed.) Wedding Cost Attendance X Vi MoreUse 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. X Wedding Attendance and Cost O C. The slope indicates that for each increase of 1 in wedding cost, the predicted attendance is estimated to increase by a value equal to by. O D. It is not appropriate to interpret the slope because it is outside the range of observed wedding costs. Wedding Cost Attendance 60700 300 Interpret the Y-intercept of the regression equation. Choose the correct answer below. 51000 350 49000 150 O A. It is not appropriate to interpret the Y-intercept because it is outside the range of observed attendances. 43000 200 O B. The Y-intercept indicates that a wedding with a cost of $0 has a mean predicted attendance of bo people. 35000 250 31000 150 O C. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wedding costs. 29500 250 O D. The Y-intercept indicates that a wedding with an attendance of 0 people has a mean predicted cost of $bo. 29000 300 28000 250 Identify and interpret the meaning of the coefficient of determination in this problem. Select the correct choice below and fill in the answer box to complete your choice. 26000 200 (Round to three decimal places as needed.) 25000 150 24000 200 A. The coefficient of determination is R = . This value is the probability that the correlation between the variables is statistically significant. 23000 200 O B. The coefficient of determination is R = . This value is the probability that the slope of the regression line is statistically significant. 23000 200 21000 200 . C. The coefficient of determination is R = . This value is the proportion of variation in wedding cost that is explained by the variation in attendance. 21000 200 20000 100 OD. The coefficient of determination is R = . This value is the proportion of variation in attendance that is explained by the variation in wedding cost. 20000 150 20000 200 Interpret the values given in the test of the population slope. Use a 0.05 level of significance. State the null and alternative hypotheses the test. 18000 150 Ho: B1 = 16000 100 16000 100 H1: B1 # 13000 150 (Type integers or decimals. Do not round.) 6000 50 Identify the test statistic. 3000 50 Wedding Cost Attendance X Vi More

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