QUESTION 1 Listed below are the number of words spoken in a 24-hour period by each person in n=8 randomly selected male-female couples. Male 15684 26429 1411 7771 18876 15477 14069 25835 Female 24625 13397 18338 17791 12964 16937 16255 18667 Suppose we define d= Female - Male . We will use the above data to make inferences about ud= the mean of d. (The standard deviation of d will be denoted od.)
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.
Calculate linear
![QUESTION 1
Listed below are the number of words spoken in a 24-hour period by each person in n=8 randomly
selected male-female couples.
Male
15684
26429
1411
7771
18876
15477
14069
25835
Female
24625
13397
18338
17791
12964
16937
16255
18667
Suppose we define d= Female - Male . We will use the above data to make inferences about ud= the
mean of d. (The standard deviation of d will be denoted od.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4b66e397-03fa-4b61-9ffe-c8f2e3f42192%2F5093de3d-8a9d-4139-b307-c17ab62fb24b%2Foqsrx0h.jpeg&w=3840&q=75)
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