"Wedding
Cost Attendance
61700 300
52000 350
45000 150
44000 200
32000 250
31000 150
28500 250
28000 300
27000 250
27000 200
27000 150
26000 200
24000 200
22000 200
21000 a. What is the regression model? Wedding Cost \( =+1 \quad \mid \times \) 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 answer below. A. It is not appropriate to interpret the slope because it is outside the range of observed attendances. B. It is not appropriate to interpret the slope because it is outside the range of observed wedding costs. C. The slope indicates that for each increase of 1 in attendance, the predicted wedding cost is estimated to increase by a value equal to b 1
. D. The slope indicates that for each increase of 1 in wedding cost, the predicted attendance is estimated to increase by a value equal to b 1
​ Interpret the Y-intercept of the regression equation. Choose the correct answer below. A. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wedding costs. B. The Y-intercept indicates that a wedding with an attendance of 0 people has a mean predicted cost of $b 0
C. The Y-intercept indicates that a wedding with a cost of $0 has a mean predicted attendance of b 0
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people. D. It is not appropriate to interpret the Y-intercept because it is outside the range of observed attendances. 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. (Round to three decimal places as needed.) A. The coefficient of determination is R 2 = This value is the probability that the correlation between the variables is statistically signt B. The coefficient of determination is R 2= This value is the proportion of variation in wedding cost that is explained by the variation in attendance. C. The coefficient of determination is R =. This value is the probability that the slope of the regression line is statistically significant. D. The coefficient of determination is R 2 =. This value is the proportion of variation in attendance that is explained by the variation in wedding cost. 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. r H 1
: (Type Iden t= (Type integers or decimals. Do not round.) Identify the test statistic. (Round to two decimal places as needed.) The p-value is Round to three decimal places as needed.) State the conclusion. H 0
​ . There evidence of a linear relationship between wedding cost and attendance. dentify and interpret the 95% confidence interval estimate of the population slope. . If a couple is planning a wedding for 325 guests, how much should they budget? They should budget $ Round to the nearest dollar as needed.)