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Please review the Regression Excel output below and then answer the following qu

ID: 3341142 • Letter: P

Question

Please review the Regression Excel output below and then answer the following questions:

Write down the regression model in proper form.

Interpret the slope coefficient for the predictor variable “Prevent Attacks”

Which of the following three predictor variables if any are predictive of “Perceived Riskiness of Flying (Y)”? Please use the p-value criterion with alpha of .05 level. Also use the confidence interval criterion at 95% level.

Please report R2 and provide an interpretation.

Assume the values for “Passengers Lost” = 40, “Prevent Attacks” = 1 and “Minimize Harm” = 1. What is your prediction for Y?

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.308

R Square

0.095

Adjusted R Square

0.072

Standard Error

1.731

Observations

122.000

ANOVA

df

SS

MS

F

Significance F

Regression

3.000

36.929

12.310

4.109

0.008

Residual

118.000

353.497

2.996

Total

121.000

390.426

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

4.916

0.616

7.980

0.000

3.696

6.135

Passengers Lost

-0.001

0.002

-0.615

0.540

-0.004

0.002

Prevent Attacks

-0.405

0.119

-3.415

0.001

-0.640

-0.170

Minimize Harm

0.137

0.101

1.359

0.177

-0.063

0.337

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.308

R Square

0.095

Adjusted R Square

0.072

Standard Error

1.731

Observations

122.000

ANOVA

df

SS

MS

F

Significance F

Regression

3.000

36.929

12.310

4.109

0.008

Residual

118.000

353.497

2.996

Total

121.000

390.426

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

4.916

0.616

7.980

0.000

3.696

6.135

Passengers Lost

-0.001

0.002

-0.615

0.540

-0.004

0.002

Prevent Attacks

-0.405

0.119

-3.415

0.001

-0.640

-0.170

Minimize Harm

0.137

0.101

1.359

0.177

-0.063

0.337

Explanation / Answer

Perceved Riskiness of Flying Y = 4.916 - 0.001 Passenger - 0.405Prevent attack +0.137 Minimize Harm

The slope of the prevent attack is -0.405 which is < 0, so it is negative correlation between prevent attack and Perceived Riskiness of Flying.
If prevent attack is increase 1 unit then Perceived Riskness of Flying is decreased 0.405
P-value of attack 0.01 < alpha 0.05, so it is significant
It Confidence interval is (-0.642,-0.170)

R^2 = 0.095 = 9.5% of variation in Perceved Riskiness of Flying Y can be explained by Prevent attacks, passneger los and inize harm

The prediction of Y is Y = 4.916 - 0.001 *40 - 0.405*1 +0.137 *1=3.888

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