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The following information on maintenance and repair costs and revenues for the l

ID: 3072935 • Letter: T

Question

The following information on maintenance and repair costs and revenues for the last two years is available from the accounting records at Arnie’s Arcade & Video Palace. Arnie has asked you to help him understand the relation between business volume and maintenance and repair cost.

Month

Maintenance and Repair Cost ($000)

Revenues ($000)

July

$2.31

$59.00

August

3.28

53.00

September

2.80

49.00

October

2.21

65.00

November

2.30

77.00

December

1.14

105.00

January

3.12

45.00

February

3.16

51.00

March

3.02

61.00

April

2.98

63.00

May

2.04

67.00

June

1.78

79.00

July

2.60

73.00

August

2.02

67.00

September

2.57

75.00

October

2.38

77.00

November

1.43

87.00

December

0.76

117.00

January

2.58

61.00

February

2.28

63.00

March

1.69

83.00

April

1.95

87.00

May

1.95

73.00

June

1.33

69.00

Using Excel, estimate a linear regression with maintenance and repair cost as the dependent variable and revenue as the independent variable. (Negative amounts should be indicated by a minus sign. Round "Multiple R, R square and Standard Error" to 7 decimal places, Intercept and Revenues to 4 decimal places.)

Regression Statistics

Multiple R: 0.8436280

R Square: 0.7117080

Standard Error:

Observations: 24

Coefficients

Intercept:

Revenues:

Month

Maintenance and Repair Cost ($000)

Revenues ($000)

July

$2.31

$59.00

August

3.28

53.00

September

2.80

49.00

October

2.21

65.00

November

2.30

77.00

December

1.14

105.00

January

3.12

45.00

February

3.16

51.00

March

3.02

61.00

April

2.98

63.00

May

2.04

67.00

June

1.78

79.00

July

2.60

73.00

August

2.02

67.00

September

2.57

75.00

October

2.38

77.00

November

1.43

87.00

December

0.76

117.00

January

2.58

61.00

February

2.28

63.00

March

1.69

83.00

April

1.95

87.00

May

1.95

73.00

June

1.33

69.00

Explanation / Answer

Hello Sir/ Mam

Your required regression analysis :

Original Excel Output :

I hope this solves your doubt.

Feel free to comment if you still have any query.

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Regression Statistics Multiple R 0.8436276 R Square 0.7117075 Standard Error 0.3658095 Observations 24 Coefficients Intercept 4.6107 Revenue -0.0334