Question

A financial analyst is examining the relationship between stock prices and earnings per share. She chooses fifteen publicly traded companies at random and records for each the companys current stock price and the companys 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 o these data, she com putes the leastsquares rearessionline to be y =-0.109 + 0.040x . This line, along with a scatterplot of her data, is shown in Figure 1 Earnings per Current stock price, y (in dollars) 0.73 share, x (in dollars) 31.02 49.03 28.41 13.83 37.91 56.99 58.73 41.65 32.83 42.82 18.89 37.95 21.32 26.74 44.48 1.70 1.40 0.68 1.19 2.20 2.5 .26 1.73 1.67 0.76 1.37 0.47 0.88 1.39 10 20 s Figure
Based on her data and her regression line, answer the following 1. Fill in the blank: For these data, values for earnings per share that are less than the mean of the values for earnings per share tend to be paired with current stock prices that are current stock prices. Choose one the mean of the 2. Fill in the blank: According to the regression equation, for an increase of one dollar in earnings per share, there is a corresponding Choose one of 0.040 dollars in current stock price. 3. What was the observed current stock price (in dollars) when the earnings per share was 58.73 dollars? From the regression equation, what is the predicted current stock price (in dollars) when the earnings per share is 58.73 dollars? (Round your answer to at least two decimal places.) 4.
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Answer #1

1. more than

2. increase of 0.040 dollars in current stock price

3. 2.71
since from the given data

4. Y-hat = -0.109 + 0.040(58.73) = 2.2402
Answer: 2.24

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