Questions: Refer to the accompanying simple linear regression relating y=average state standardized test math score in 2014 with x= average state standardized test math score in 2010 for each of 51 states. Complete parts a through c below. (1) Click the icon to view the simple linear regression printout. A 95% confidence interval for the slope is (0.98,1.21). (Round to two decimal places as needed.) Interpret the result. Choose the correct answer below. A. Because the lower bound of the confidence interval is greater than 0, there is sufficient evidence to conclude that a positive linear relationship exists between y and x. B. Because the upper bound of the confidence interval is greater than 0, there is sufficient evidence to conclude that a positive linear relationship exists between y and x. C. Because the lower bound of the confidence interval is less than 0, there is not sufficient evidence to conclude that a positive linear relationship exists between y and x. D. Because the upper bound of the confidence interval is less than 0, there is not sufficient evidence to conclude that a positive linear relationship exists between y and x.

Refer to the accompanying simple linear regression relating y=average state standardized test math score in 2014 with x= average state standardized test math score in 2010 for each of 51 states. Complete parts a through c below.
(1) Click the icon to view the simple linear regression printout.

A 95% confidence interval for the slope is (0.98,1.21).
(Round to two decimal places as needed.)
Interpret the result. Choose the correct answer below.
A. Because the lower bound of the confidence interval is greater than 0, there is sufficient evidence to conclude that a positive linear relationship exists between y and x.
B. Because the upper bound of the confidence interval is greater than 0, there is sufficient evidence to conclude that a positive linear relationship exists between y and x.
C. Because the lower bound of the confidence interval is less than 0, there is not sufficient evidence to conclude that a positive linear relationship exists between y and x.
D. Because the upper bound of the confidence interval is less than 0, there is not sufficient evidence to conclude that a positive linear relationship exists between y and x.
Transcript text: Refer to the accompanying simple linear regression relating $y=a v e r a g e ~ s t a t e ~$ standardized test math score in 2014 with $x=$ average state standardized test math score in 2010 for each of 51 states. Complete parts a through $\mathbf{c}$ below. (1) Click the icon to view the simple linear regression printout. A $95 \%$ confidence interval for the slope is $(0.98,1.21)$. (Round to two decimal places as needed.) Interpret the result. Choose the correct answer below. A. Because the lower bound of the confidence interval is greater than 0 , there is sufficient evidence to conclude that a positive linear relationship exists between y and x . B. Because the upper bound of the confidence interval is greater than 0 , there is sufficient evidence to conclude that a positive linear relationship exists between y and x . C. Because the lower bound of the confidence interval is less than 0 , there is not sufficient evidence to conclude that a positive linear relationship exists between y and x . D. Because the upper bound of the confidence interval is less than 0 , there is not sufficient evidence to conclude that a positive linear relationship exists between y and x .
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Solution

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Solution Steps

Step 1: Understanding the Confidence Interval

The given confidence interval for the slope of the regression line is \((0.98, 1.21)\). This interval provides a range of values within which we can be \(95\%\) confident that the true slope of the population regression line lies.

Step 2: Analyzing the Confidence Interval

To determine the relationship between \( y \) and \( x \), we need to consider the bounds of the confidence interval:

  • The lower bound of the confidence interval is \(0.98\), which is greater than \(0\).
  • The upper bound of the confidence interval is \(1.21\), which is also greater than \(0\).

Since both bounds are greater than \(0\), this indicates that there is a positive linear relationship between \( y \) and \( x \).

Step 3: Choosing the Correct Interpretation

Based on the analysis, the correct interpretation is that there is sufficient evidence to conclude a positive linear relationship exists between \( y \) and \( x \) because the entire confidence interval is above \(0\).

Final Answer

\(\boxed{\text{A}}\)

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