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The heights (in inches) and foot lengths (in centimeters) of 32 college men were used to develop a model for the relationship between height and foot length. The scatterplot shows that a linear model is appropriate. SPSS output is provided below. Use the following information for questions: The heights (in inches) and foot lengths (in centimeters) of 32 college men were used to develop a model for the relationship between height and foot length. The scatterplot shows that a linear model is appropriate. SPSS output is provided below. -To assess if there is a significant linear relationship between height and foot length, the hypotheses to be tested are H<sub>0</sub>: \beta <sub>1</sub> = 0 versus H<sub>a</sub>: \beta <sub>1</sub> \neq 0. What is the correct conclusion at the 1% significance level? Use the following information for questions: The heights (in inches) and foot lengths (in centimeters) of 32 college men were used to develop a model for the relationship between height and foot length. The scatterplot shows that a linear model is appropriate. SPSS output is provided below. -To assess if there is a significant linear relationship between height and foot length, the hypotheses to be tested are H<sub>0</sub>: \beta <sub>1</sub> = 0 versus H<sub>a</sub>: \beta <sub>1</sub> \neq 0. What is the correct conclusion at the 1% significance level? Use the following information for questions: The heights (in inches) and foot lengths (in centimeters) of 32 college men were used to develop a model for the relationship between height and foot length. The scatterplot shows that a linear model is appropriate. SPSS output is provided below. -To assess if there is a significant linear relationship between height and foot length, the hypotheses to be tested are H<sub>0</sub>: \beta <sub>1</sub> = 0 versus H<sub>a</sub>: \beta <sub>1</sub> \neq 0. What is the correct conclusion at the 1% significance level?
-To assess if there is a significant linear relationship between height and foot length, the hypotheses to be tested are H0: β\beta 1 = 0 versus Ha: β\beta 1 ≠\neq 0. What is the correct conclusion at the 1% significance level?

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Since the p-value is so small,...

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