Scenario A friend noticed that he and his friends were putting on a little weight although their eating habits were healthy and they worked out
Scenario A friend noticed that he and his friends were putting on a little weight although their eating habits were
Scenario A friend noticed that he and his friends were putting on a little weight
he and his friends were putting on a little weight although their eating habits were healthy and they worked out
Scenario A friend noticed that he and his friends were putting on
a little weight although their eating habits were healthy and they worked out
Scenario A friend noticed that he and his friends were
Scenario A friend noticed that
Scenario : A friend noticed that he and his friends were putting on a little weight although their eating habits were healthy and they worked out...

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Scenario: A friend noticed that he and his friends were putting on a little weight although their eating habits were healthy and they worked out three times a week. He was curious if age contributed to this weight gain. RQ: Is there a correlation of body weight (DV) based on age (IV) with a 95% confidence level? Complete the hypothesis test to answer the RQ. Refer to the Lecture Notes. Step 1 Specify the null and alternate hypothesis (use symbols) Step 2 Specify Alpha Step 3 Calculate the Test Statistics and P-value Step 4 Make a Decision Step 5 State the Findings Write out the regression equation. Predict the weight for a 35-year old man. Import Excel file: Age_and_Weight.xlsx # Excel and not csv Input code: weight <- Age_and_Weight $ Weight # dependent variable age <- Age_and_Weight $ Age # independent variable fit <- lm (weight ~ age, Age_and_Weight) # regression analysis summary(fit) # display the results plot(weight, age, xlab="Age", ylab="Body Weight") # scatterplot and axis labels abline (lm (age ~ weight)) # regression line

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