Flashcards in Linear Regression Deck (38)

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1

## What does a slope of 2 mean?

### That every 1-unit change in X yields a 2-unit change in Y

2

## What is the formula to find the slope?

### Rise/Run

3

## What is the formula to find linear?

### Y = Mx + B

4

## What measures the relative strength of the linear relationship between two variables?

### Correlation

5

##
True or False:

Correlation is unit-less

### True

6

## What is the range of correlation?

### -1 and 1

7

##
Fill in the Blanks:

The closer correlation is to -1, the ______ the ______ linear relationship

###
1. Stronger

1. Negative

8

##
Fill in the Blanks:

The closer correlation is to 1, the ______ the ______ linear relationship

###
1. Stronger

2. Positive

9

##
Fill in the Blanks:

The closer correlation is to 0, the ______ any ______ linear relationship

###
1. Weaker

2. Positive

10

## What measures the strength and direction of the linear relationship?

### The Coefficient of Correlation

11

## How do you know when a scatter plot has a correlation coefficient of -1?

### The dots form a downward line

12

## How do you know when a scatter plot has a correlation coefficient of 1?

### The dots form a upward line

13

## How do you know when a scatter plot has a correlation coefficient of 0?

### The dots form a straight line

14

## How do you know when a linear correlation has no relationship on a scatter plot?

### The dots are scattered everywhere

15

## How do you know when a linear correlation has a relationship on a scatter plot?

### The dots are clustered together

16

##
True or False:

In linear correlation, the two variables are treated as equals

### True

17

##
Fill in the Blanks:

In linear regression, one variable is considered the ________ variable while the other is considered the ________ variable

###
1. Independent

2. Dependent

18

## In linear regression which variable is considered the independent variable?

### X

19

## In linear regression which variable is considered the dependent variable?

### Y

20

## What is another name for the x variable in linear regression?

### The predictor

21

## What is another name for the y variable in linear regression?

### The outcome

22

## What is the difference between linear regression and correlation?

### Correlation tells if two things travel together while Regression tells if one thing can predict another

23

## List the 4 things that linear regression assumes

###
1. The relationship between X and Y is linear

2. Y is distributed normally at each value of X

3. The variance of Y at every value of X is the same

4. The observations are independent

24

## Which function provides the correlation coefficient (r)?

### The CORREL function

25

## Which function provides r-squared?

### The RSQ function

26

## Which function provides the y-intercept?

### The INTERCEPT function

27

## Which function returns the best fit line against x values?

### The TREND function

28

## What should you do if you have more than 1 causal (i.e. X) variable?

### Use multiple linear regressions

29

## What is the percentage variation explained by the X variables?

### The adjusted r square

30