Regression Analysis Concepts

Regression Analysis Concepts

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This video tutorial introduces regression equations, explaining their types and formulas. It provides a detailed walkthrough of solving a numerical example using regression equations, including calculating regression and correlation coefficients. The video concludes with a summary and encourages viewers to share and subscribe.

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9 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main topic discussed in the video?

Regression Equations

Correlation Coefficient

Probability Theory

Statistical Inference

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of regression equation helps find the variation in y when changes in x are given?

Regression equation of y on x

Standard deviation

Regression equation of x on y

Correlation coefficient

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the formula for the regression coefficient b_xy?

summation x y by summation y square

r times summation x by summation y

r times summation y by summation x

summation x y by summation x square

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the small 'r' denote in the context of regression?

Mean

Standard deviation

Correlation coefficient

Regression coefficient

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the mean of x calculated in the numerical example?

Summation x divided by n

Summation x y divided by n

Summation x square divided by n

Summation y divided by n

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the new value of x when x = 1 and x bar = 3?

1

0

2

-2

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the value of summation x y in the example?

27

40

90

15

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the final regression equation of x on y?

y = 2.7 x - 0.1

x = 2.7 y + 0.6

y = 0.3 x - 0.1

x = 0.3 y + 0.6

9.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the correlation coefficient 'r' calculated as in the video?

2.7

1.5

0.9

0.3