1. Consider the function R(m). Why is it appropriate to use a linear regression to model this function relationship O (a) All functions can be modeled with linear regression. O (b) The average rate of change is nearly constant across the given input intervals. O (c) The average rate of change is exactly constant across the given input intervals. O(d) The percent change is nearly constant across the given input intervals.

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1. Consider the function R(m). Why is it appropriate to use a linear regression to model this function relationship?
(a) All functions can be modeled with linear regression.
O (b) The average rate of change is nearly constant across the given input intervals.
O (c) The average rate of change is exactly constant across the given input intervals.
O (d) The percent change is nearly constant across the given input intervals.
O (e) The percent change is exactly constant across the given input intervals.
Transcribed Image Text:1. Consider the function R(m). Why is it appropriate to use a linear regression to model this function relationship? (a) All functions can be modeled with linear regression. O (b) The average rate of change is nearly constant across the given input intervals. O (c) The average rate of change is exactly constant across the given input intervals. O (d) The percent change is nearly constant across the given input intervals. O (e) The percent change is exactly constant across the given input intervals.
Problems 1, 2, and 3 refer to the following scenario: You are interested in getting a robotic vacuum cleaner to clean your floors for you at
night while you sleep. The problems that these things are super expensive. You decide to use Amazon to track the prices of two different
models - a RoboVacX and a DroidClean 3000 - over the course of the next year. Here is what you find. In these tables,R represents the
price of a RoboVacX, D represents the price of a DroidClean 3000, and m represents months since you started keeping track of prices.
Months tracking prices, m Price, R, in dollars
Months tracking prices, m Price, D, in dollars
1
$435.79
$362.54
1
14
$369.17
4
$265.12
17
$302.53
17
$194.19
19
$253.48
9
$152.88
12
$187.22
12
$110.67
Transcribed Image Text:Problems 1, 2, and 3 refer to the following scenario: You are interested in getting a robotic vacuum cleaner to clean your floors for you at night while you sleep. The problems that these things are super expensive. You decide to use Amazon to track the prices of two different models - a RoboVacX and a DroidClean 3000 - over the course of the next year. Here is what you find. In these tables,R represents the price of a RoboVacX, D represents the price of a DroidClean 3000, and m represents months since you started keeping track of prices. Months tracking prices, m Price, R, in dollars Months tracking prices, m Price, D, in dollars 1 $435.79 $362.54 1 14 $369.17 4 $265.12 17 $302.53 17 $194.19 19 $253.48 9 $152.88 12 $187.22 12 $110.67
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