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lukranit [14]
2 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]2 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]2 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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A cone has a radius of 5 ft and a height of 15 ft. It is empty and is being filled with water at a constant rate of 15 15 ft 3 f
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Answer:

\frac{dr}{dt}=0.11062ft/sec

Step-by-step explanation:

From the question we are told that:

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3 0
3 years ago
I got more points plz help!
jeka94
B is the correct answer.
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