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Exercise 6.7 presents a regression model for predicting the average birth weight of babies based on length of gestation, parity, height, weight, and smoking status of the mother. Determine if the model assumptions are met using the plots below. If not, describe how to proceed with the analysis.

Intro Stats / AP Statistics

Chapter 6

Multiple and logistic regression

Linear Regression and Correlation

Temple University

University of North Carolina at Chapel Hill

Oregon State University

University of St. Thomas

Lectures

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03:04

The heights of mothers and…

02:50

23:19

The data set BWGHT contain…

11:19

Use the data from Exercise…

01:44

For the following exercise…

01:22

Vahya infant weights A stu…

00:50

Exercises $51-56$ present …

02:55

A regression was run to de…

01:43

What are the assumptions f…

02:25

Which Model? The following…

03:52

Regression Equations. The …

00:39

01:25

Projected Birth Weight. Ul…

00:47

Smokers don't live as…

08:12

For women age $25-34$ in t…

01:30

Determine whether or not t…

04:30

Exercises 51–56 present da…

02:17

Use the same data sets as …

00:49

01:12

Interpreting a Computer Di…

Um, and the answer to this question, we have to work with a T I 83 or a graphing calculator. So start by selecting stat for statistics, choose edit, and then you're gonna insert your data on what you're gonna dio. Let's put the mother's data in the l one column but the daughter's data in the L two column, and then when you're all done with that, you're gonna restart and you're gonna then go back to stat. This time, though, you're gonna click Cal Cook, and then you're gonna go down to the fourth option Lynn Rag, which stands for linear regression. And then you should get this as an output. So this is our linear regression, you know, typical slope equation. And it should point that out and should also tell you where a in this case is equal to 0.103 be is able to 58.1 and our 0.533 this one. This our value is our linear regression. And what this is basically saying is that there is a 53% more or less correlative, um, strength between these data points. So it isn't really strong. Um, correlation. But nevertheless, we're still gonna answer the next question, which is what we're gonna dio if if a mother is 67 inches, what will the daughter be? Theoretically using the equation. So all we have to do is plugging these values into our slope equation, where 67 is going to be our X value and then a value in the B value. So all we have to dio is plugging these values and calculate so a 0.103 times X, which is 67 plus B, which is 58 0.1, and the answer you get is 60 five inches.

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