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GMGT282-UGSEM4C-2024/25S2-Research Methods for Managers

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Calculate

the quartile 1 for the data table given below.

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Calculate

the quartile 2 for the data table given below.

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In a multiple regression

analysis SSR = 1,000 and SSE = 200. The F statistic for this model is

0%
0%
0%
100%
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Calculate

the quartile 3 for the data table given below.

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A sample of 25 families was taken. The objective of the study was to estimate the factors that determine the monthly expenditure on food for families. The independent variables included in the analysis were the number of members in the family (X1), the number of meals eaten outside the home (X2), and a dummy variable (X3) that equals 1 if a family member is on a diet and equals 0 if there is no family member on a diet. The following results were obtained.

 

 

Coefficients

Standard Error

Intercept

450.08

53.6

X1

  49.92

  9.6

X2

  10.12

  2.2

X3

     -.60

12.0

 

Analysis of Variance

 

 

DF

SS

MS

Regression

 

3,078.39

1,026.13

Residual (Error)

 

2,013.90

     95.90

 

Estimate the monthly expenditure on food for a family that has 5 members, eats out 3 times, and does not have any member of the family on a diet.

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If the coefficient of correlation is 0.8, the percentage of variation in the dependent variable explained by the variation in the independent variable is
100%
0%
0%
0%
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The standard error is the
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0%
0%
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The coefficient of determination
67%
0%
0%
33%
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A regression analysis between sales (Y in $1000) and advertising (X in dollars) resulted in the following equation:  Y = 30,000 + 4X. The above equation implies that an
0%
100%
0%
0%
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In a regression and correlation analysis if r2 = 1, then
33%
0%
67%
0%
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