# Chapter 1. Introduction to Chapter 24: Inference for Regression

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1:42

### Question 1.1

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Correct. If there is a linear relationship between X and Y, then X can be used to predict Y.
Incorrect. If there is a linear relationship between X and Y, then X can be used to predict Y.
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### Question 1.2

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Correct. All inferential procedures have conditions, including testing whether a linear relationship exists.
Incorrect. All inferential procedures have conditions, including testing whether a linear relationship exists.
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2:16

### Question 1.3

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Correct. The forest service official wants to know if she can use diameter of a tree to predict its volume of wood. Thus, diameter of a tree is the explanatory or predictor variable.
Incorrect. The forest service official wants to know if she can use diameter of a tree to predict its volume of wood. Thus, diameter of a tree is the explanatory or predictor variable.
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2:42

### Question 1.4

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Correct. The cloud of data appears linear, a line drawn through the cloud of data would have positive slope, and since the cloud of data is close to the line, the strength is “strong."
Incorrect. The cloud of data appears linear, a line drawn through the cloud of data would have positive slope, and since the cloud of data is close to the line, the strength is “strong."
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3:04

### Question 1.5

Correct. The smallest sum of squared residuals is 524.3.
Incorrect. The smallest sum of squared residuals is 524.3.
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3:42

### Question 1.6

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Correct. The value of slope is b = 5.066.
Incorrect. The value of slope is b = 5.066.
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4:43

### Question 1.7

Correct. We need a P-value to perform a test.
Incorrect. We need a P-value to perform a test.
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5:35

### Question 1.8

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Correct. Since we will discuss how to construct an interval estimate of a prediction, that prediction must have error.
Incorrect. Since we will discuss how to construct an interval estimate of a prediction, that prediction must have error.
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