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lukranit [14]
3 years ago
13

The least-squares regression line Sˆ=0.5+1.1L models the relationship between the listing price and the actual sales price of 12

houses, with both amounts given in hundred-thousands of dollars. Let L represent the listing price and S represent the sales price.
Mathematics
2 answers:
Vlada [557]3 years ago
6 0

Answer:

For each hundred-thousand-dollar increase in the listing price, the sales price is predicted to increase by $110,000.

Step-by-step explanation:

The sales price is not predicted to increase by $1.1; it is predicted to increase by $110,000 because S is measured in hundred-thousands of dollars. The sales price will not decrease by $110,000; it is predicted to increase by $110,000.

irga5000 [103]3 years ago
6 0

Answer:

For each hundred-thousand-dollar increase in the listing price, the sales price is predicted to increase by $110,000.

Step-by-step explanation:

went over it in class

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Step-by-step explanation:

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Given:
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σ = 2 mpg, the population standard deviation

If we select n samples for evaluation, we should calculate z-scores that are based on the standard error of the mean.
That is,
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The random variable is x = 24 mpg.

Part (i):  n = 1
σ/√n = 2
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