Quant lvl 2 - Reading 9 Flashcards

1
Q

define covariance

A

statistical measure of the degree to which the two variables move together

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2
Q

define correlation coefficient, “r”

A

measure of the strength of the linear relationship (correlation) between 2 variables

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3
Q

FORMULA: sample correlation coefficient

A

(cov of XY) / (stnd dev X)(stnd dev Y)

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4
Q

What are the 3 limitations of correlation analysis

A
  1. outliers, 2. spurious correlation (appearance of casual linear relationship when there is not one) 3. nonlinear relationships
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5
Q

FORMULA: t test for population correlation coefficient equals to zero

A

(r)(sq root n-2) / (sq root 1 - rsquared)

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6
Q

what test do you use fto test “whether the correlation between the population of two variables is equal to zero”

A

t-test

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7
Q

what is purpose of simple linear regression?

A

to explain the variation i dependent variable in terms of variation in single independent variable.

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8
Q

define dependent variable

A

variable whose variation is explained by independent variable. “explained variable” “predicted variable”

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9
Q

define independent variable

A

“explanatory variable”

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10
Q

what is the simple linear equation?

A

Y=bsub0 +bsub1Xsubi

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11
Q

define sum of squared erros, SSE

A

vertical distances between the estimated and actual Y-values

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12
Q

Define the standard error of estimate, SEE

A

measures the degree of variability of the actual Y-values relative to the estimated Y-values from a regression equation. (gauges the fit of the regression line)

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13
Q

define coefficient of determination, R-squared

A

% of total variation in dependent variable explained by the independent variable

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14
Q

what does s sub b1 represent?

A

the standard error of the regression coefficient

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15
Q

FORMULA: confidence interval

A

b sub 1 + or - (t critical X s sub b1

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16
Q

FORMULA: t test for slope coefficient equal to a hypothesized value

A

t sub b1 = (b sub1 - b sub1) / (s sub b1)

17
Q

Decision rule for t test

A

Reject the null when t calc > t critical