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. ### Analysis of Variance and Regression Table#### Source Table- **Source** - **Model** - **Sum of Squares:** 711,680 - **df (degrees of freedom):** 1 - **Error** - **Sum of Squares:** 50,692,661 - **df (degrees of freedom):** 50#### Parameter Estimates- **Variable** - **Constant** - **Parameter Estimate:** 292.518 - **Standard Error of Parameter Estimate:** 823.505 - **Income** - **Parameter Estimate:** 0.05 - **Standard Error of Parameter Estimate:** 0.06This table presents a typical output from a regression analysis, including the Sum of Squares for the model and error, along with the degrees of freedom. It also provides the parameter estimates for the variables in the model and their associated standard errors.

The formula of R -squared is,where,SSR denotes the sum of regression squaresSSE denotes the error sum of squaresThe value of R squared is obtained as follows: From the output giventhe value of SSR is 711680The value of SSE is 50692661The required value is,Thus, the value of the R squared is 0.0138.Determine the value of correlationThe value of correlation is obtained as follows:Thus, the value of the correlation is 0.1177.Thus, the value of the R squared is 0.0138..Thus, the value of the correlation is 0.1177.