A researcher is investigating possible explanations for deaths in traffic accidents. He examined data from 2000 for each of the 52 cities randomly selected in the US. As part of his study, he ran the following simple linear regression model: Ho:B1=0 versus H1:B1 not equal =/ to 0.  Based on the results from table in photo, determine the value of correlation Rsquared of this simple linear regression model. Help me understand how you solved for R-squared.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A researcher is investigating possible explanations for deaths in traffic accidents. He examined data from 2000 for each of the 52 cities randomly selected in the US. As part of his study, he ran the following simple linear regression model: Ho:B1=0 versus H1:B1 not equal =/ to 0.  Based on the results from table in photo, determine the value of correlation Rsquared of this simple linear regression model. Help me understand how you solved for R-squared. 

Source Sum of Squares
Model
Error
Variable
Constant
Income
711680
50692661
Parameter
Estimate
292.518
0.05
df
1
50
Standard Error of Parameter
Estimate
823.505
0.06
Transcribed Image Text:Source Sum of Squares Model Error Variable Constant Income 711680 50692661 Parameter Estimate 292.518 0.05 df 1 50 Standard Error of Parameter Estimate 823.505 0.06
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