We want to predict the selling price of a house in Newburg Park FL based on the distance
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Practice Problems

We want to predict the selling price of a house in Newburg Park FL based on the distance

Problem 1

Compute sample correlation coefficient and the coefficients for the least-squares regression line

Given the following data

We want to predict the selling price of a house in Newburg Park FL based on the distance the house lies from the beach.

Distance from the beach, x (in miles) Selling price, y (in thousands of dollars)
6.2 302.7
18.5 216.3
8.5 250
8.3 292.3
4.1 308.5
4.9 264.8
11.6 227
13.8 265.5
13.5 196.6
13.2 188
10 274.4
7.4 234.3
6.2 270.8
5.7 216.4
10.9 197.3
9.2 290.2

What is the value of the slope

What is the value of the y-intercept

NOTE: Round answers to three decimal laces

Hint
Statistics  The Least Squares Regression Line fits that relationship. That line is known as a Relapse Line and has the condition ŷ= a + b x. The Least Squares Relapse Line is the line that makes the upward separation from the information focuses to the relapse line as little as could be expected...

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