Below is StatCrunch output showing the regression of the num

Below is StatCrunch output showing the regression of the number of acres a home sits on and the value of the home. What is the appropriate p-value to test if the slope is significantly different from zero (i.e. if there a significant linear relationship between acreage and value)?

Simple linear regression results:
Dependent Variable: Total $
Independent Variable: Acres
Total $ = 168612.4 + 84536.84 Acres
R (correlation coefficient) = 0.2378
R-sq = 0.056531586

Parameter estimates:

Parameter

Estimate

Std.
Err.

Alternative

DF

T-Stat

P-Value

Intercept

168612.4

18017.02

0

96

9.358507

<0.0001

Slope

84536.84

35247.516

0

96

2.3983774

0.0184

Select one:

<0.001

0.0092

0.0184

0.9908

There is not enough information given to determine the p-value.

Parameter

Estimate

Std.
Err.

Alternative

DF

T-Stat

P-Value

Intercept

168612.4

18017.02

0

96

9.358507

<0.0001

Slope

84536.84

35247.516

0

96

2.3983774

0.0184

Solution

Below is StatCrunch output showing the regression of the number of acres a home sits on and the value of the home. What is the appropriate p-value to test if th
Below is StatCrunch output showing the regression of the number of acres a home sits on and the value of the home. What is the appropriate p-value to test if th

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