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 ŷ =−0.2390+0.044x. This line, along with a scatter plot of her data, is shown below. sna(in dollars)38.1318.5834.2351.1231.3059.1316.0638.1225.4150.1542.0441.0342.06price, y(in dollars)1.110.621.542.531.382.780.731.451.061.581.421.111.75Current stock price(in dollars)25+2+1.50.5010XXXEarnings per share 21.3628.3558.97Send data to calculator0.580.692.25Send data to ExcelBased on the analyst's data and regression line, answer the following.(in dollars)(a) What was the observed current stock price (in dollars) when the earnings per share was 38.13 dollars?(b) From the regression equation, what is the predicted current stock price (in dollars) when the earnings per share is38.13 dollars? Round your answer to two or more decimal places.

Regression equation are used to predict the future value over the another. It explains the…

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 ŷ =−0.2390+0.044x. This line, along with a scatter plot of her data, is shown below.

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 ŷ =−0.2390+0.044x. This line, along with a scatter plot of her data, is shown below.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter7: Exponents And Exponential Functions

Section: Chapter Questions

Problem 68SGR

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