Chi Squared Lin Reg

Question 1

Why is it not appropriate to test hypothesis using the chi square goodness of fit test

Answer 1

You need counts for chi squared not averages

Question 2

To find the appropriate p value of the chi square test statistic you use

Answer 2

Use Chi squared cdf

Plug in test statistic 8.3
Da grew of freedom 8

Question 3

To find degree of freedom you use

Answer 3

Degree of freedom = #category - 1

Question 4

All chi squared curves are skewed to the right?

Answer 4

True

Question 5

Chi squared distribution are continuous distribution?

Answer 5

True

They go to Infiniti

Question 6

The data must be from a reasonably random sample?

Answer 6

True

Question 7

Chi squared statistic will be positive or negative depending on the way that you subtract?

Answer 7

False

All will be positive and always goes to the right

Question 8

The chi squared test statistic is a measure of how different the observed counts are from the expected counts

Answer 8

True

Question 9

To calculate expected counts for a two way table, one would multiply the table total by the row total and divide by the column total

Answer 9

False

( Row total x column total ) / table total

Question 10

For chi square test and GOF the assumption are

Answer 10

Simple random sample

Expected counts are at least 5 or they are greater or equal to 5

Expected counts are (list)

Question 11

If you have a matrix or a table you use what test

Answer 11

You use the chi squared test

Question 12

What happens to the chi squared distribution (density curve) as degree of freedom increase

Answer 12

The chi squared density curve will shift to the right and becoming more like a normal distribution

Question 13

In a chi squared test what are the
Ho:
Ha:

Answer 13

Ho: independent
Ha: dependent

Question 14

In a chi squared GOF the
Ho:
Ha:
Are?

Answer 14

Ho: observed = expected
Ha: observed does not equal expected

Ho: same
Ha: different

Question 15

If you have a list or a ratio you use what test?

Answer 15

Chi squared goodness of freedom test

Question 16

The sum of the residuals is

Answer 16

Zero

Question 17

If the residual plot is random the data is

Answer 17

Linear

Question 18

If residual plot not random then it is

Answer 18

Not linear

Question 19

The coefficient of determination is

Answer 19

R squared

Question 20

Coefficient of determination in context is said like

Answer 20

% of the variation in (. ) can be explained by the LSRL

Question 21

What is the correlation coefficient

Answer 21

R

Question 22

Interpret the correlation coefficient by saying

Answer 22

There is a (strong, moderate, weak) (positive or negative) correlation between (blank)

Question 23

Interpret slop by saying

Answer 23

For each additional unit of x there is an approx increase in y

Question 24

For a linear regression t test what does it test?

Answer 24

It test whether slope is zero or not

Question 25

Linear regression t test Ho: Ha: Is what?

Answer 25

Ho: B=0 Ha: B does not equal zero Where B is the true slope of the LSRL

Question 26

When putting data into from the calculator for a linear regression t test you put the X Y in what

Answer 26

X goes in L1 | Y goes in L2

Question 27

What is the standard deviation or standard error

Answer 27

It is s

Question 28

What is the slope standard deviation

Answer 28

Sb

Question 29

Where is the y intercept and the slope?

Answer 29

The y intercept is always above the slope in the given info

Question 30

Where is the slope standard deviation located in the info

Answer 30

It is located to the right of the slope

Question 31

Strong positive linear relation ship is between

Answer 31

.8-1

Question 32

Moderate positive linear relationship

Answer 32

.6-.8

Question 33

Weak positive relation ship is between

Answer 33

>0-.6

Question 34

How to find t in linear regression problem

Answer 34

T= slope/standard deviation slope Then you put it in tcdf