IQ and reading scoresData on the IQ test scores and reading test scores for a group of fifth-grade children give the following regression line: predicted reading score -33.4+0.882(IQ score).

(a) What’s the slope of this line? Interpret this value in context.

(b) What’s the intercept? Explain why the value of the intercept is not statistically meaningful.

(c) Find the predicted reading scores for two children with IQ scores of 90and 130, respectively.

Short Answer

Expert verified

From the given information,

a) The slope is 0.882. The slope tells us that, we predict reading scores to increase by 0.882points with an increase of 1point in their IQ score.

b) For a value to be statistically meaningful it must lie in the realm of reality. Since the intercept is -33.4, that means a child with an IQ score of 0would have a predicted reading score of -33.4which is out of the realm of possibility.

c) The predicted reading score for a child with IQ of 90is 45.98

The predicted reading score for a child with IQ of130is81.26

Step by step solution

01

Part(a) Step 1: Given Information 

It is given in the question that, the predicted reading score = -33.4+0.882(IQ score)

What’s the slope of this line? Interpret this value in context.

02

Part (a) Step 2: Explanation 

reading score=-33.4+0.882(IQ score)

Here, the IQ score is the explanatory variable so 0.882is the slope.

The slope of a linear regression line is the number multiplied by the explanatory variable.

The slope represents the predicted change in y when x increases by 1unit.

03

Part (b) Step 1: Given Information

It is given in the question that, the predicted reading score = -33.4+0.882(IQ score)

What’s the intercept? Explain why the value of the intercept is not statistically meaningful

04

Part (b) Step 2: Explanation 

For a value to be statistically meaningful it must lie in the realm of reality. Since the intercept is -33.4, that means a child with an IQ score of 0would have a predicted reading score of -33.4which is out of the realm of possibility.

The y-intercept is the value of the response variable when the explanatory variable is 0.

05

Part (c) Step 1: Given Information 

It is given in the question that, the predicted reading score = -33.4+0.882(IQ score)

Find the predicted reading scores for two children with IQ scores of 90and130, respectively.

06

Part (c) Step 2: Explanation 

Given:

Reading Score = -33.4+0.882(IQ score)

We need to predict the reading scores corresponding to an IQ score of 90and an IQ score of 130.

IQ Score of 90

Replace "IQ score" with90in the given regression line and evaluate:

Reading Score=33.4+0.882(Time)

Substitute

=33.4+0.882(90)

Evaluate product

-33.4+79.38

Evaluate sum

=45.98

Thus the predicted reading score for a child with an IQ of 90is45.98

07

Part (c) Step 3: Explanation 

IQ Score of 130

Replace "IQ score" with 130in the given regression line and evaluate :

Reading Score = -33.4+0.882(Time)

Substitute

= -33.4+0.882(130)

Evaluate product

= -33.4+114.66

Evaluate sum

=81.26

Thus, the predicted reading score for a child with IQ of 130is 81.26

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