kids emailhr prestige tvhours wwwhr kids 1 emailhr -0.02 1 prestige -0.09 0.04 1 tvhours 0.03 -0.01 -0.15 1 wwwhr -0.04 0.40 0.02 -0.02 1 Which two variables are most strongly correlated? Why do you think those two variables are highly correlated? Which two variables have the strongest negative correlation? Can you explain that relationship?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
The correlation matrix below shows the Pearson r values for the
“kids” = number of children
“emailhr” = number of hours the respondent spends doing email each week
“prestige” = the occupational prestige of the respondent’s job, low numbers = low prestige, high numbers = high prestige
“tvhours” = number of hours the respondent spends watching TV each week
“wwwhr” = number of hours the respondent spends surfing the Web each week.
Based on the values shown in the table, answer the questions below.
|
|
kids |
emailhr |
prestige |
tvhours |
wwwhr |
|
kids |
1 |
||||
|
emailhr |
-0.02 |
1 |
|||
|
prestige |
-0.09 |
0.04 |
1 |
||
|
tvhours |
0.03 |
-0.01 |
-0.15 |
1 |
|
|
wwwhr |
-0.04 |
0.40 |
0.02 |
-0.02 |
1 |
Which two variables are most strongly correlated? Why do you think those two variables are highly correlated?
Which two variables have the strongest
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