Correlation and Regression Flashcards

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1
Q

Types of correlation (Type 2 - 2 types)

A

Linear & Non-linear

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2
Q

It is a nonparametric measure of the strength and direction of association that exists between two variables measured on at
least an ordinal scale.

A

Spearman rank-order correlation coefficient

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3
Q

A correlation of +1 indicates a ______________ correlation.

A

perfect positive

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4
Q

It deals with the estimation of one variable based on the changes or movements of the other variables. It helps solve problems concerning prediction, estimation and forecasting.

A

Regression Analysis

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5
Q

The three methods of studying correlation

A
  1. Scatter Diagram Method
  2. Karl Pearson Coefficient Correlation of Method
  3. Spearman’s Rank Correlation Method
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6
Q

Interpretation for value of r between ± 0.20 to ± 0.39

A

Low correlation

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7
Q

It is a type of correlation that involves two independent and one dependent variable.

A

Simple

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8
Q

Types of correlation (Type 3 - 3 types)

A

Simple, multiple, partial

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9
Q

It is a type of correlation that involves one dependent variable and more than one independent variable but only one independent variable is considered and other independent variables are considered constant.

A

Partial

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10
Q

It is a method of statistical evaluation used to study the strength of a relationship between two, numerically measured, continuous variables (e.g. height and weight).

A

Correlation analysis

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11
Q

Correlation lies between __ to __.

A

+1, -1

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12
Q

Interpretation for value of r between ± 0.80 to ± 0.99

A

High correlation

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13
Q

A ____________ indicates that there is no relationship between the variables.

A

zero correlation

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14
Q

It is a type of correlation that involves one independent and more than one independent variables.

A

Multiple

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15
Q

Interpretation for value of r between ± 0.01 to ± 0.19

A

Negligible correlation

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16
Q

Types of correlation (Type 1 - 4 types)

A

Positive
Negative
No
Perfect

17
Q

Interpretation for value of r between ± 0.40 to ± 0.59

A

Moderate correlation

18
Q

It is the measure of the strength of the linear relationship between two variables that is defined in terms of the (sample) covariance of the variables divided by their (sample) standard deviations.

A

Coefficient of Correlation (r)

19
Q

Interpretation for value of r between ± 0.60 to ± 0.79

A

Moderately high correlation

20
Q

If X and Y are correlated variables and we want to predict or estimate the value of Y given the value of X, we have to find the _____________ that describes the relationship between the two variables.

A

regression equation

21
Q

A correlation of -1 indicates a _____________ correlation.

A

perfect negative

22
Q

To estimate if a relationship exists between two variables, this method is done by plotting the point corresponding to each observation on a rectangular coordinate system.

A

Scatter diagram