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For a set of data, x is the explanatory variable. Its mean is 8.2, and its standard deviation is 1.92. For the same set of data, y is the response variable. Its mean is 13.8, and its standard deviation is 3.03. The correlation was found to be 0.223.Select the correct slope and y-intercept for the least-squares line. Answer choices are rounded to the hundredths place.Slope = 0.35y-intercept = 10.93Slope = 0.14y-intercept = 6.27Slope = 0.35y-intercept = 3.37Slope = 0.14y-intercept = 12.65

Question

For a set of data, x is the explanatory variable. Its mean is 8.2, and its standard deviation is 1.92. For the same set of data, y is the response variable. Its mean is 13.8, and its standard deviation is 3.03. The correlation was found to be 0.223.Select the correct slope and y-intercept for the least-squares line. Answer choices are rounded to the hundredths place.Slope = 0.35y-intercept = 10.93Slope = 0.14y-intercept = 6.27Slope = 0.35y-intercept = 3.37Slope = 0.14y-intercept = 12.65

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Solution

The slope of the least-squares line can be calculated using the formula: slope = correlation * (standard deviation of y / standard deviation of x).

So, let's calculate the slope:

slope = 0.223 * (3.03 / 1.92) = 0.35 (rounded to the hundredths place)

The y-intercept of the least-squares line can be calculated using the formula: y-intercept = mean of y - (slope * mean of x).

So, let's calculate the y-intercept:

y-intercept = 13.8 - (0.35 * 8.2) = 10.93 (rounded to the hundredths place)

So, the correct answer is: Slope = 0.35, y-intercept = 10.93.

This problem has been solved

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