Question
In: Accounting
create a regression model for the Wedding Cost data set, using Wedding Cost as the dependent...
create a regression model for the Wedding Cost data set, using Wedding Cost as the dependent variable, and all other variables as independent variables. Try whether the Bride and Groom were payors for the wedding, and at least one additional interaction term in the model. Do that by Excel
| Couple's Income | Bride's age | Payor | Wedding cost | Attendance | Value Rating |
| $130,000 | 22 | Bride's Parents | $60,700.00 | 300 | 3 |
| $157,000 | 23 | Bride's Parents | $52,000.00 | 350 | 1 |
| $98,000 | 27 | Bride & Groom | $47,000.00 | 150 | 3 |
| $72,000 | 29 | Bride & Groom | $42,000.00 | 200 | 5 |
| $86,000 | 25 | Bride's Parents | $34,000.00 | 250 | 3 |
| $90,000 | 28 | Bride & Groom | $30,500.00 | 150 | 3 |
| $43,000 | 19 | Bride & Groom | $30,000.00 | 250 | 3 |
| $100,000 | 30 | Bride & Groom | $30,000.00 | 300 | 3 |
| $65,000 | 24 | Bride's Parents | $28,000.00 | 250 | 3 |
| $78,000 | 35 | Bride & Groom | $26,000.00 | 200 | 5 |
| $73,000 | 25 | Bride's Parents | $25,000.00 | 150 | 5 |
| $75,000 | 27 | Bride & Groom | $24,000.00 | 200 | 5 |
| $64,000 | 25 | Bride's Parents | $24,000.00 | 200 | 1 |
| $67,000 | 27 | Groom's Parents | $22,000.00 | 200 | 5 |
| $75,000 | 25 | Bride's Parents | $20,000.00 | 200 | 5 |
| $67,000 | 30 | Bride's Parents | $20,000.00 | 200 | 5 |
| $62,000 | 21 | Groom's Parents | $20,000.00 | 100 | 1 |
| $75,000 | 19 | Bride's Parents | $19,000.00 | 150 | 3 |
| $52,000 | 23 | Bride's Parents | $19,000.00 | 200 | 1 |
| $64,000 | 22 | Bride's Parents | $18,000.00 | 150 | 1 |
| $55,000 | 28 | Bride's Parents | $16,000.00 | 100 | 5 |
| $53,000 | 31 | Bride & Groom | $14,000.00 | 100 | 1 |
| $62,000 | 24 | Bride's Parents | $13,000.00 | 150 | 1 |
| $40,000 | 26 | Bride's Parents | $7,000.00 | 50 | 3 |
| $45,000 | 32 | Bride & Groom | $5,000.00 | 50 | 5 |
Solutions
ekkarill92 answered 1 year agoRelated Solutions
Using the Excel file Weddings, apply the Regression tool using the wedding cost as the dependent...
Using the Excel file Weddings, apply the
Regression tool using the wedding cost as the dependent
variable and attendance as the independent variable.
What is the regression model?
Interpret all key regression results, hypothesis tests, and
confidence intervals in the output.
If a couple is planning a wedding for 175 guests, how much
should they budget?
Couple's Income
Bride's age
Payor
Wedding cost
Attendance
Value Rating
$130,000
22
Bride's Parents
$60,700.00
300
3
$157,000
23
Bride's Parents
$52,000.00
350
1...
You estimated a regression model using annual returns of ExxonMobil (as a dependent variable) and of...
You estimated a regression model using annual returns of
ExxonMobil (as a dependent variable) and of the market (as an
independent variable). The R-squared of this regression is 0.2, and
the total variance of ExxonMobil's returns in the estimation window
is 0.0625. In this case, the variance of the unsystematic (or
idiosyncratic) component of ExxonMobil's returns is:
Using Excel generate a simple regression model with Y as the dependent variable and X1 and...
Using Excel generate a simple regression model with Y
as the dependent variable and X1 and X2 as the independent
variables in the attached spreadsheet.
Write the following from the output:
Intercept:
Coefficients of Independent variable:
R-square:
Significance F:
Based on the model generated, forecast profits for a firm with
X1= Based on the model generated, forecast profits for a firm with
x1=250 and X2=100.
Evaluate the predictability of the model using explanatory
language that someone who does not have...
Fit a multiple regression model using MPG as the dependent variable and DISP, HP, and WT...
Fit a multiple regression model using MPG as the dependent
variable and DISP, HP, and WT as the independent variables.
Is the overall regression model significant? Test at the α =
0.05 level of significance. State the null hypothesis, the
alternative hypothesis =, the test statistic calculated and
critical values and your test conclusion.
mpg
disp
hp
wt
21
160
110
2.62
21
160
110
2.875
22.8
108
93
2.32
21.4
258
110
3.215
18.7
360
175
3.44
18.1
225...
In Nonlinear regression analysis, if we have a data set and if we need to model...
In Nonlinear regression analysis, if we have a data set and if
we need to model nonlinear, once we enter the data either in R or
SPSS software we observe the results, but we cannot see the exact
equation as we can write for linear regression.as an example if we
want to see the relationship between Sales the response variable
and the advertising budget for TV media and News paper we have to
independent variables,once the data we entered how...
create a multiple regression using your dependent variable and as many independent variables you can think...
create a multiple regression using your dependent variable and
as many independent variables you can think of.
discuss the statistical significance of each of your independent
variables
REGRESSION - USING CALCULATOR 1- You are given data for Xi (independent variable) and Yi (dependent...
REGRESSION - USING CALCULATOR
1- You are given data for Xi (independent
variable) and Yi (dependent variable).
2- Calculate the correlation coefficient, r:
3- Calculate the coefficient of determination:
4- Calculate the regression coefficient b1
(the slope):
5- Calculate the regression coefficient b0 (the
Y-intercept, or constant):
6- The regression equation (a straight line) is:
Problem 2:
A researcher is interested in determining whether there is a
relationship between shelf space and number of books sold for her
bookstore.
Shelf...
Regression analysis is usually performed using quantitative data of both dependent and independent variables. It can...
Regression analysis is usually performed using quantitative data
of both dependent and independent variables. It can extend to cases
where one of the variables (or both) is quantitative. Using
scholarly citations, find a study that extends the regression where
either dependent, independent, or both are qualitative. Give:
a brief description of the study
a description of the dependent and independent variables
the conclusion.
Explain effectiveness of Cost Model Data Set in your examples.
Explain effectiveness of Cost Model Data Set in your
examples.
Consider the following quarterly time series. The regression model developed for this data set that has...
Consider the following quarterly time series. The regression
model developed for this data set that has seasonality and trend is
as follows, yˆt = 864.08 + 87.8Qtr1t + 137.98Qtr2t + 106.16Qtr3t +
28.16t Compute the quarterly forecasts for next year based on the
regression model? Quarter Year 1 Year 2 Year 3 1 923 1112 1243 2
1056 1156 1301 3 1124 1124 1254 4 992 1078 1198
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