a. What is the regression model? "Wedding Cost +xAttendance (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. OA. The slope indicates that for each increase of 1 in attendance, the predicted wedding cost is estimated to increase by a value equal to b₁. OB. The slope indicates that for each increase of 1 in wedding cost, the predicted attendance is estimated to increase by a value equal to b₁. OC. It is not appropriate to interpret the slope because it is outside the range of observed wedding costs. OD. It is not appropriate to interpret the slope because it is outside the range of observed attendances. Interpret the Y-intercept of the regression equation. Choose the correct answer below. OA. The Y-intercept indicates that a wedding with a cost of $0 has a mean predicted attendance of bo people. OB. The Y-intercept indicates that a wedding with an attendance of 0 people has a mean predicted cost of $bo- OC. It is not appropriate to interpret the Y-intercept because it is outside the range of observed attendances. OD. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wedding costs. Identify and interpret the meaning of the coefficient of determination in this problem Select the en

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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.
a. What is the regression model?
Wedding Cost=
+(xAttendance
(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.
OA. The slope indicates that for each increase of 1 in attendance, the predicted wedding cost is estimated to increase by a value equal to b₁.
OB. The slope indicates that for each increase of 1 in wedding cost, the predicted attendance is estimated to increase by a value equal to b₁.
OC. It is not appropriate to interpret the slope because it is outside the range of observed wedding costs.
OD. It is not appropriate to interpret the slope because it is outside the range of observed attendances.
Interpret the Y-intercept of the regression equation. Choose the correct answer below.
A. The Y-intercept indicates that a wedding with a cost of $0 has a mean predicted attendance of bo people.
OB. The Y-intercept indicates that a wedding with an attendance of 0 people has a mean predicted cost of $bo-
OC. It is not appropriate to interpret the Y-intercept because it is outside the range of observed attendances.
OD. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wedding costs.
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.)
OA. The coefficient of determination is R2:
OB. The coefficient of determination is R2:
OC. The coefficient of determination is R²
This value is the proportion of variation in attendance that is explained by the variation in wedding cost.
This value is the proportion of variation in wedding cost that is explained by the variation in attendance.
=
This value is the probability that the correlation between the variables is statistically significant.
This value is the probability that the slope of the regression line is statistically significant.
OD. The coefficient of determination is R=
c. If a couple is planning a wedding for 225 guests, how much should they budget?
They should budget $☐ .
(Round to the nearest dollar as needed.)
Transcribed Image Text: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= +(xAttendance (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. OA. The slope indicates that for each increase of 1 in attendance, the predicted wedding cost is estimated to increase by a value equal to b₁. OB. The slope indicates that for each increase of 1 in wedding cost, the predicted attendance is estimated to increase by a value equal to b₁. OC. It is not appropriate to interpret the slope because it is outside the range of observed wedding costs. OD. It is not appropriate to interpret the slope because it is outside the range of observed attendances. Interpret the Y-intercept of the regression equation. Choose the correct answer below. A. The Y-intercept indicates that a wedding with a cost of $0 has a mean predicted attendance of bo people. OB. The Y-intercept indicates that a wedding with an attendance of 0 people has a mean predicted cost of $bo- OC. It is not appropriate to interpret the Y-intercept because it is outside the range of observed attendances. OD. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wedding costs. 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.) OA. The coefficient of determination is R2: OB. The coefficient of determination is R2: OC. The coefficient of determination is R² This value is the proportion of variation in attendance that is explained by the variation in wedding cost. This value is the proportion of variation in wedding cost that is explained by the variation in attendance. = This value is the probability that the correlation between the variables is statistically significant. This value is the probability that the slope of the regression line is statistically significant. OD. The coefficient of determination is R= c. If a couple is planning a wedding for 225 guests, how much should they budget? They should budget $☐ . (Round to the nearest dollar as needed.)
Wedding data
Wedding Cost Attendance
61700
300
54000
350
48000
150
41000
200
33000
250
31500
150
29000
250
29000
300
29000
250
28000
200
25000
150
25000
200
23000
200
23000
200
22000
200
20000
200
19000
100
19000
150
19000
200
18000
150
16000
100
16000
100
13000
150
7000
50
5000
50
Transcribed Image Text:Wedding data Wedding Cost Attendance 61700 300 54000 350 48000 150 41000 200 33000 250 31500 150 29000 250 29000 300 29000 250 28000 200 25000 150 25000 200 23000 200 23000 200 22000 200 20000 200 19000 100 19000 150 19000 200 18000 150 16000 100 16000 100 13000 150 7000 50 5000 50
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