Correlation and Regression Analysis

Correlation and Regression Analysis

Assessment

Interactive Video

Mathematics

10th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial guides students through solving combined homework problems, focusing on testing for linear correlation using scatter plots, correlation coefficients, and p-values. It analyzes the relationship between PSAT and SAT scores, concluding no significant correlation. The tutorial also explores the correlation between altitude and temperature, finding a strong negative correlation. Students are encouraged to complete their homework and are reminded of the importance of understanding statistical concepts.

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12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main focus of the combined problems in sections 10.2 and 10.3?

Calculating mean and median

Testing for linear correlation

Analyzing variance

Finding standard deviation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT part of the linear correlation test instructions?

Constructing a scatter plot

Determining the p-value

Finding the correlation coefficient

Calculating the mean

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What data is analyzed to determine linear correlation in section 3?

Temperature and humidity

Income and expenditure

PSAT and SAT scores

Height and weight

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which tool is used for correlation and regression analysis in section 4?

R

SPSS

Stat Disk

Excel

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a correlation coefficient of 0.54329 indicate?

No correlation

Strong positive correlation

Weak positive correlation

Strong negative correlation

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the null hypothesis in the correlation hypothesis test?

The correlation is negative

There is a correlation

There is no correlation

The correlation is positive

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why can't PSAT scores be used to predict SAT scores?

The data is incomplete

There is no correlation

The sample size is too small

The scores are too similar

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