Chi Squared Lin Reg Flashcards

1
Q

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

A

You need counts for chi squared not averages

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2
Q

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

A

Use Chi squared cdf

Plug in test statistic 8.3
Da grew of freedom 8

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3
Q

To find degree of freedom you use

A

Degree of freedom = #category - 1

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4
Q

All chi squared curves are skewed to the right?

A

True

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5
Q

Chi squared distribution are continuous distribution?

A

True

They go to Infiniti

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6
Q

The data must be from a reasonably random sample?

A

True

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7
Q

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

A

False

All will be positive and always goes to the right

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8
Q

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

A

True

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9
Q

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

A

False

( Row total x column total ) / table total

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10
Q

For chi square test and GOF the assumption are

A

Simple random sample

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

Expected counts are (list)

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11
Q

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

A

You use the chi squared test

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12
Q

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

A

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

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13
Q

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

A

Ho: independent
Ha: dependent

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14
Q

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

A

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

Ho: same
Ha: different

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15
Q

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

A

Chi squared goodness of freedom test

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16
Q

The sum of the residuals is

17
Q

If the residual plot is random the data is

18
Q

If residual plot not random then it is

A

Not linear

19
Q

The coefficient of determination is

20
Q

Coefficient of determination in context is said like

A

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

21
Q

What is the correlation coefficient

22
Q

Interpret the correlation coefficient by saying

A

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

23
Q

Interpret slop by saying

A

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

24
Q

For a linear regression t test what does it test?

A

It test whether slope is zero or not

25
Linear regression t test Ho: Ha: Is what?
Ho: B=0 Ha: B does not equal zero Where B is the true slope of the LSRL
26
When putting data into from the calculator for a linear regression t test you put the X Y in what
X goes in L1 | Y goes in L2
27
What is the standard deviation or standard error
It is s
28
What is the slope standard deviation
Sb
29
Where is the y intercept and the slope?
The y intercept is always above the slope in the given info
30
Where is the slope standard deviation located in the info
It is located to the right of the slope
31
Strong positive linear relation ship is between
.8-1
32
Moderate positive linear relationship
.6-.8
33
Weak positive relation ship is between
>0-.6
34
How to find t in linear regression problem
T= slope/standard deviation slope Then you put it in tcdf