Based on the analyst's data and regression line, complete the following. For these data, values for earnings per share that are greater than the mean of the values for earnings per share tend to be paired with current stock prices that are (greater than, lesser than) the mean of the current stock prices.According to the regression equation, for an increase of one dollar in earnings per share, there is a corresponding increase of how many dollars in current stock price? 27.161.2028.630.813+30.961.5456.942.942.5+43.751.592+58.902.151.5+48.651.5736.651.6237.611.150.5+15.480.4927.831.38105042.080.96Earnings per share(in dollars)52.072.8042.151.8415.430.74>Current stock price(in dollars) A financial analyst is examining the relationship between stock prices and earnings per share. She chooses sixteen publicly traded companiesat random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Herdata are given below, with x denoting the earnings per share from the previous year, and y denoting the current stock price (both in dollars).Based on these data, she computes the least-squares regression line to be y =-0.092 +0.043x. This line, along with a scatter plot of herdata, is shown below.Current stock price, yEarnings per share, x(in dollars)(in dollars)21.350.88

Given regression equation ŷ = -0.092 + 0.043x Slope = 0.043 Slope is positive, so if earnings per…

Answered: Based on the analyst's data and…

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Based on the analyst's data and regression line, complete the following.

For these data, values for earnings per share that are greater than the mean of the values for earnings per share tend to be paired with current stock prices that are (greater than, lesser than) the mean of the current stock prices.
According to the regression equation, for an increase of one dollar in earnings per share, there is a corresponding increase of how many dollars in current stock price?

27.16
1.20
28.63
0.81
3+
30.96
1.54
56.94
2.94
2.5+
43.75
1.59
2+
58.90
2.15
1.5+
48.65
1.57
36.65
1.62
37.61
1.15
0.5+
15.48
0.49
27.83
1.38
10
50
42.08
0.96
Earnings per share
(in dollars)
52.07
2.80
42.15
1.84
15.43
0.74
>
Current stock price
(in dollars)

A financial analyst is examining the relationship between stock prices and earnings per share. She chooses sixteen publicly traded companies
at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her
data are given below, with x denoting the earnings per share from the previous year, and y denoting the current stock price (both in dollars).
Based on these data, she computes the least-squares regression line to be y =-0.092 +0.043x. This line, along with a scatter plot of her
data, is shown below.
Current stock price, y
Earnings per share, x
(in dollars)
(in dollars)
21.35
0.88

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