A real estate agent wants to predict the selling price of single-family homes from the size of each house. A scatterplot created from a sample of houses shows an exponential relationship between price, in thousands of dollars, and size, in 100 square feet. To create a linear model, the natural logarithm of price was taken and the least-squares regression line was given as In( price = 2.08 + 0.11( size). Based on the model, which of the following is closest to the predicted selling price for a house with a size of 3,200 square feet? A $54,500 B $270,000 $354,000 $398,000 E $560,000

A real estate agent wants to predict the selling price of single-family homes from the size of each house. A scatterplot created from a sample of houses shows an exponential relationship between price, in thousands of dollars, and size, in 100 square feet. To create a linear model, the natural logarithm of price was taken and the least-squares regression line was given as In( price = 2.08 + 0.11( size). Based on the model, which of the following is closest to the predicted selling price for a house with a size of 3,200 square feet? A $54,500 B $270,000 $354,000 $398,000 E $560,000

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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