The estimated model is ED = 13.527 + -0.007Dist, R 0.000 (0.069) Where the number in parentheses is the homoskedastic standard error for the regression coefficient B, Suppose you wanted to test the hypothesis that B, equals zero at the 1%, 5% and 10% level. That is, Ho P=0 vs. H A#0 Report the t-statistic and p-value for this test. The t-statistic is (Round your response to two decimal places) The p-value is (Round your response to three decimal places) Can you reject the null hypothesis at the 5% significance level? O A. Yes. O B. No. Construct a 95% confidence interval for the slope coefficient B4
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
![M
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.009746989
R Square
9.50038E-05
Adjusted R Square
-0.010108108
Standard Error
1.798411671
Observations
100
ANOVA
df
SS
MS
Significance F
Regression
1
0.030115256
0.030115256 0.009311257
0.923324618
Residual
98
316.9598847
3.234284538
Total
99
316.99
Coefficients
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0% Upper 95.0%
Standard Error
13.03363951
14.0194215
13.03363951
14.0194215
Intercept
13.52653051
0.24837444
54.46023549 4.51479E-75
-0.006680477
0.06923143 -0.096494857 0.923324618 -0.144067996 0.130707042 -0.144067996 0.130707042
Distance
DOLL](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe64798b0-5731-41a4-b27d-f0bff6280af7%2F8725b5c7-f4d1-43b9-b95e-a5586af0427b%2Fwa286l_processed.jpeg&w=3840&q=75)
![The estimated model is
ED = 13.527 +-0.007Dist, R= 0.000
(0.069)
Where the number in parentheses is the homoskedastic standard error for the regression coefficient B,.
Suppose you wanted to test the hypothesis that B, equals zero at the 1%, 5% and 10% level. That is,
Ho B=0 vs. H P,#0
Report the t-statistic and p-value for this test.
The t-statistic is
(Round your response to two decimal places)
The p-value is
(Round your response to three decimal places)
Can you reject the null hypothesis at the 5% significance level?
D
O A. Yes.
O B. No.
Construct a 95% confidence interval for the slope coefficient B,
Click to select your answer(s).
DELL
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W](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe64798b0-5731-41a4-b27d-f0bff6280af7%2F8725b5c7-f4d1-43b9-b95e-a5586af0427b%2Fmcfljs_processed.jpeg&w=3840&q=75)
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