Measures of Association & Correlation in Business Flashcards

1
Q

independent variable

A

a condition or piece of data in an experiment that can be controlled or changed

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2
Q

dependent variable

A

a condition or piece of data in an experiment that is controlled or influenced by an outside factor, most often the independent variable.

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3
Q

correlation

A

the relationship between two sets of variables used to describe or predict information

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4
Q

positive correlation

A

where the dependent variables and independent variables in a data set increase or decrease together.

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5
Q

negative correlation

A

where the dependent variables and independent variables in a data set either increase or decrease opposite from one another.

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6
Q

Causation

A

also known as cause and effect, is when an observed event or action appears to have caused a second event or action.

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7
Q

scatterplot

A

a visual representation of the relationship between two variables

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8
Q

correlation

A

relationship between the two variables

the relationship between two sets of variables used to describe or predict information

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9
Q

correlation coefficient

A

defined as a numerical representation of the strength and direction of the relationship.
the degree in which the change in a set of variables is related
denoted as big R or little r as a measure of the statistical relationship between x and y

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10
Q

Pearson correlation

A

a statistical procedure for determining the correlation of normally distributed, interval or ratio data
Normally distributed is a way to describe the spread of the data
a very helpful statistical formula that measures the strength between variables and relationships
often referred to as the Pearson R test

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11
Q

Statistical procedure

A

a statistical formula that you’ll work with.

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12
Q

Normally distributed

A

a way to describe the spread of the data.

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13
Q

Interval and ratio

A

the quantitative measurement of data

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14
Q

sigma

A

to sum

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15
Q

Coefficient of determination

A

denoted as big R2 or little r2 is a quantity that indicates how well a statistical model fits a data set

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16
Q

regression line

A

a line of best fit for the data points

17
Q

coefficient value,

A

determines how strong the relationship is between two variables

18
Q

negatively correlated

A

If the coefficient value is in the negative range, then that means the relationship between the variables
as one value increases, the other decreases

19
Q

positively correlated

A

If the value is in the positive range, then that means the relationship between the variables
each variable rises or falls exactly as the other does

20
Q

CORREL function

A

function to calculate the coefficient or use an Add-in, the Analysis ToolPak