If the sum of squares regression (SSR) is 150, which of the following must be TRUE? The proportion of unexplained variation is less than 150. The sum of squares error (SSE) must be greater than 150. The total sum of squares (SST) is at least 150. O The coefficient of correlation is 0.9.

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If the sum of squares regression (SSR) is 150, which of the following must be TRUE?
The proportion of unexplained variation is less than 150.
The sum of squares error (SSE) must be greater than 150.
The total sum of squares (SST) is at least 150.
The coefficient of correlation is 0.9.
A statistical test that can be performed to determine any significant linear
relationship between two quantitative variables is: *
O A F-test of the null hypothesis that the slope of the regression line is zero.
O A F-test of the null hypothesis that the correlation is less than -1.
O A F-test of the null hypothesis that the correlation is greater than 1.
O A F-test of the null hypothesis that the intercept of the regression line is zero.
Transcribed Image Text:If the sum of squares regression (SSR) is 150, which of the following must be TRUE? The proportion of unexplained variation is less than 150. The sum of squares error (SSE) must be greater than 150. The total sum of squares (SST) is at least 150. The coefficient of correlation is 0.9. A statistical test that can be performed to determine any significant linear relationship between two quantitative variables is: * O A F-test of the null hypothesis that the slope of the regression line is zero. O A F-test of the null hypothesis that the correlation is less than -1. O A F-test of the null hypothesis that the correlation is greater than 1. O A F-test of the null hypothesis that the intercept of the regression line is zero.
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