Use the following information for questions:
The next two questions are based on a regression equation for 55 college students withx = left forearm length (cm) and y = height. The forearm lengths ranged from 22 cm to 31 cm. The regression equation is $\hat{y}$ = 30.3 + 1.49x.
-The total sum of squares (SSTO) = 1054.8, and the error sum of squares (SSE) = 464.5. What is the value of r², the proportion of variation in y explained by its linear relationship with x?

Question

Use the following information for questions:
The next two questions are based on a regression equation for 55 college students withx = left forearm length (cm) and y = height. The forearm lengths ranged from 22 cm to 31 cm. The regression equation is

\hat{y}

= 30.3 + 1.49x.
-The total sum of squares (SSTO) = 1054.8, and the error sum of squares (SSE) = 464.5. What is the value of r², the proportion of variation in y explained by its linear relationship with x?

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The Answer of Use the following information for questions: The next two questions are based on a regression equation for 55 college students withx = left forearm length (cm) and y = height. The forearm lengths ranged from 22 cm to 31 cm. The regression equation is $\hat{y}$ = 30.3 + 1.49x. -The total sum of squares (SSTO) = 1054.8, and the error sum of squares (SSE) = 464.5. What is the value of r², the proportion of variation in y explained by its linear relationship with x?

Use the Following Information for Questions: the Next Two y^\hat{y}y^​

Use the Following Information for Questions:
the Next Two $\hat{y}$