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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, wit
Question
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.
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Mathematics
3 years
2021-07-18T22:58:40+00:00
2021-07-18T22:58:40+00:00 2 Answers
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Answer:
Answer E
Step-by-step explanation:
Nondeterministic language (predicted, on average, estimated, etc.) is used, and the correct increase is indicated.
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.