QUESTION 1 It we find that there is a linear correlation betwoon changes in the

Question

QUESTION 1 It we find that there is a linear correlation betwoon changes in the number of cigarettes a person smokes causes changes in the number of times a person coughs? the number of times a person coughs and the number of cigarettes they smoke, does that indicate that Yes QUESTION 2 A linear regression was conducted on the number of cigarettes a person smokes in a day versus the number of times they cough in a day Suppose the number of cigarettes a person smokes in a day is our x variable and the number of times they cough in a day is the y variable In linear regression, the x variable is referred to as the response vaable correlation coefficient explanatory variable true vanable QUESTION A inear regression was conducted on the number of cigarettes a person smokes in a day versus the number of tmes they cough in a day Suppose the number s our x vaniable and the number of times they cough in a day is the y variable In Inear regression the y vanable is referred to as the response vaiable true vaniable explanatory variable O coreiden coeficient

Explanation / Answer

Q1) Yes.It will change because there is a linear correlation between my two concerned variables.

Q2) In linear regresssion, x is called explainatory variable since with the help of x we try to explain the variability in our response variable.

Q3) In linear regresssion,y is called a response variable since using information about another independent variable we try to find out/explain the other variable.That's why response variable is y.

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