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

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In a regression analysis, the regression equation is given by y = 12 – 6 x. If SSE = 510 and SST = 1000, then the coefficient of correlation is
100%
0%
0%
0%
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Calculate

the quartile 2 for the data table given below.

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In a regression analysis if SSE = 200 and SSR = 300, then the coefficient of determination is
100%
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0%
0%
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A multiple regression model has the form

Y = 7 + 2X1 + 9X2

As x1 increases by 1 unit (holding x2

constant), y is expected to

0%
0%
100%
0%
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Calculate

the quartile 3 for the data table given below.

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Regression analysis was applied between sales (in $10,000) and advertising (in $100) and the following regression function was obtained. Y = 50 + 8 X Based on the above estimated regression line if advertising is $1,000, then the point estimate for sales (in dollars) is
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100%
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Jason believes that the sales of coffee at his coffee shop depend upon

the weather. He has taken a sample of 6 days. Below you are given the results

of the sample.

Cups of Coffee

Sold

Temperature

350.00

45.00

205.00

55.00

215.00

65.00

100.00

75.00

60.00

85.00

40.00

95.00

Predict sales of a 60-degree

day.

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Calculate

the quartile 1 for the data table given below.

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A regression model involved

5 independent variables and 136 observations. The critical value of t for

testing the significance of each of the independent variable's coefficients

will have

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Last school year, the student body of a local university consisted

of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300

students taken from this year's student body showed the following number of

students in each classification.

 

Freshmen

83

Sophomores

68

Juniors

85

Seniors

64

 

We are interested in determining whether or not there has been a

significant change in the classifications between the last school year and this

school year.

 

The calculated value

for the test statistic equals

0%
0%
0%
100%
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