Stats M. 11 Flashcards

1
Q

slope of an estimated regression equation

A

y = Bo + B1 (x)

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2
Q

RSquare tells us what

A

the percentage of variation in the response variable that can be explained by the linear relationship between the response variable and the predictor variable

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3
Q

if B1 > 0

A

the graph of the regression equation slopes up

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4
Q

if B1<0

A

the graph of the regression equation slopes down

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5
Q

if B1=0

A

the graph of the regression equation is horizontal

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6
Q

L
I
N
E

A

Linearity
Independence
normality
equal variance

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7
Q

linearity=

A

there is a linear relationship between explanatory variable and the response variable
scatterplot: look for linear relationship
residuals vs fitted plot: look for no clear pattern

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8
Q

independence=

A

the observations of the response variable are independent of each other
-check whether good sampling techniques were used

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9
Q

normality=

A

at each setting of the predictor variable, the distribution of the response variable is normal
-QQ plot: check to see whether the points on the plot follow the diagonal line on the plot

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10
Q

equal variance=

A

at each setting of the predictor variable the distribution of the response variable has the same standard deviation
-residuals vs fitted plot: we want to see a horizontal band of points that is centered and symmetric about the x-axis

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11
Q

Ho:
Ha:

A

Ho: the predictor variable is NOT useful for predicting the response variable B1 = 0
Ha: the predictor variable is useful for predicting the response variable B1 =/ 0

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12
Q
A
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