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?

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?

25
In this correlation, there is an absence of any systematic tendency.
Zero Correlation
26
Explain the arbitrary scale for the interpretation of r.
+-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
It is a non-parametric measure of correlation.
Spearman Rank Correlation Coefficient
28
How is Spearman Rank Correlation Coefficient denoted?
rsub(s)
29
Spearman Rank Correlation Coefficient could be computed in the following cases.
1. Both variables are quantitative 2. Both variables are qualitative ordinal 3. One variable is quantitative and the other is qualitative ordinal
30
It is a technique concerned with predicting some variables by knowing others.
Regression
31
It tells you how values in y changes as a function of changes in values of x.
Regression
32
It used for prediction.
Regression
33
True or False. You can predict something even though variables have no correlation.
False
34
What is line of best fit in linear regression?
y = mx + b