Chapter 12 Flashcards

0
Q

T-test for Beta: plan

A

Linear: scatterplot shows and approximately linear pattern
Independent: assuming there are at least blank available
Normal: the normal probability plot shows and approximately linear line showing normality
Equal variance: there is an even distribution above and below the residual equals zero line on the residual plot
Random: randomly selected
We will use a t-test for Beta

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1
Q

T test for beta: State

A

Bo= 0, Ba (,not equal) where B is the true slope for the population regression line relating x and y
Alpha equals .05

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2
Q

T-test for Beta: do

A

Find the DF
Slope minus Beta divided by SE of B = t
TCDF
IF NOT EQUAL TO ONE MINUS ANSWER

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3
Q

T-test for Beta: conclude

A

There is convincing evidence that the true slope for the regression line relating x and y is positive

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4
Q

T interval for Beta: State

A

We want to estimate beta, the true slope of the population regression line relating x and y at a — confidence level

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5
Q

T interval for Beta: plan

A

Same as t-test

We will use a T interval for Beta

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6
Q

T interval for Beta: do

A

Find DF
Make curve
Invt which gives you t*
b plus or minus t*(SD b)

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7
Q

T interval for Beta: conclude

A

We are – percent confident that the interval from blank to blank contains the truth slope data relating X and Y

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8
Q

Interpret s

A

s= _____ tells us that, on average, are predicted values X are off by s

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9
Q

Interpret r-sq

A

= _____ tells us that the percent variation accounted for between X and Y is _____ %

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10
Q

Interpret standard error of slope

A

SEb: _____ tells us that if the experiment were repeated many times, the estimated slope would be about _____ off from the population slope, on average

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11
Q

Interpret slope

A

For every one more unit of why, that X is predicted to increase by x (#)

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12
Q

Interpret y intercept

A

For 0 units of y, we predict the x to be y (coefficient) units

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13
Q

Power model

A

Log on both

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14
Q

Exponential model

A

Log on one

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