Lesson 2 Flashcards

1
Q

It measures the relationship between variables.

A

Correlation

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2
Q

It predicts the outcome or effect of variable to another variable.

A

Regression

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3
Q

It is a statistical tool to measure the association between variables.

A

Correlation

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4
Q

It is concerned with the relationship in the changes and movements of two variables.

A

Correlation

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5
Q

It measures the extend of relationship between variables.

A

Correlation

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6
Q

What are the two types of correlation tests?

A
  1. Pearson - Product Moment Correlation
  2. Spearman Rho Correlation
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7
Q

It is a type of data focused on descriptions or used to label variables without any order or quantitative value.

A

Nominal data

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8
Q

It is a type of data where data can be put in order or when data have natural ordering.

A

Ordinal data

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9
Q

These are data that contain the values that fall under integers or whole numbers.

A

Discrete

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10
Q

These are data in the form of fractional numbers or decimals.

A

Continuous

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11
Q

We can only use this correlation test strictly for discrete and continuous data.

A

Pearson-product moment correlation

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12
Q

In this correlation test, nominal and ordinal data are accepted.

A

Spearman Rho Correlation

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13
Q

It measures the nature and strength between two variables of the quantitative type.

A

Pearson’s Correlation / Product Moment Correlation Coefficient

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14
Q

It measures the degree of linear association.

A

Pearson’s Correlation / Product Moment Correlation Coefficient

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15
Q

It is denoted by r.

A

Pearson’s Correlation / Product Moment Correlation Coefficient

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16
Q

What is the range of rho when using Pearson’s Correlation?

A

ranges from +1.0 (positive) to -1.0 (negative)

17
Q

What does the sign of r denotes in Pearson’s Correlation?

A

nature of association

18
Q

What does the value of r denotes in Pearson’s Correlation?

A

strength of association

19
Q

In this correlation, when x increases, y also increases.

A

Positive correlation

20
Q

It is correlation with direct variable.

A

Positive Correlation

21
Q

What value of r gives a perfect positive correlation?

A

1

22
Q

In this correlation, when the x increases, the y decreases.

A

Negative Correlation

23
Q

It is a correlation with indirect variable.

A

Negative Correlation

24
Q

What is the value of a perfect negative correlation?

A

-1

25
Q

In this correlation, there is an absence of any systematic tendency.

A

Zero Correlation

26
Q

Explain the arbitrary scale for the interpretation of r.

A

+-1.00 - Perfect Positive/Negative Correlation
+-0.70 to +-0.99 - Strong/High Positive/Negative Correlation
+-0.40 to +-0.69 - Moderate Positive/Negative Correlation
+-0.01 to +-0.39 - Slight/Low Positive/Negative Correlation
0 - No Correlation

27
Q

It is a non-parametric measure of correlation.

A

Spearman Rank Correlation Coefficient

28
Q

How is Spearman Rank Correlation Coefficient denoted?

A

rsub(s)

29
Q

Spearman Rank Correlation Coefficient could be computed in the following cases.

A
  1. Both variables are quantitative
  2. Both variables are qualitative ordinal
  3. One variable is quantitative and the other is qualitative ordinal
30
Q

It is a technique concerned with predicting some variables by knowing others.

A

Regression

31
Q

It tells you how values in y changes as a function of changes in values of x.

A

Regression

32
Q

It used for prediction.

A

Regression

33
Q

True or False. You can predict something even though variables have no correlation.

A

False

34
Q

What is line of best fit in linear regression?

A

y = mx + b