A) Draw a residual plot of the data. Explain why a linear model is appropriate for the data B) Suppose that the times have been recorded in seconds. For example, the time 34.12 minutes would be 2047 seconds. How would the value of r change?
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.
A) Draw a residual plot of the data. Explain why a linear model is appropriate for the data
B) Suppose that the times have been recorded in seconds. For example, the time 34.12 minutes would be 2047 seconds. How would the value of r change?
![35.72
34.72
34.05
34.13
Time
Pulse
34.12
152
35.72
124
36.17
140
152
35.37
146
35.57
Time
35.57
Pulse
128
35.43
136
36.05
144
148
34.7
144
34.75
140
35.62
132
34.85
Time
Pulse
Time
Pulse
Time
Pulse
136
33.93
156
35.68
124
124
34.60
136
35.28
132
148
34.00
148
35.97
139
144
34.35
148](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F64f5ec08-9f44-4383-85e8-5eea109c96c3%2Fd09b67d8-a35a-4ef0-adff-dab9a5d35740%2Fajoze8r_processed.jpeg&w=3840&q=75)
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