Square this value (r2). Include the value and describe this correlation to someone who is not in statistics class.

Briefly explain the difference between leading, coincident, and lagging indicators.

Correlation does not imply causation. What does this mean? Find an example in the media that needs to understand this concept and explain it to your peers. Be sure to include the link to the example you are using.

The more serving of fruits and vegetables that people tend to eat during the week, the lower their levels of cholesterol. What type of correlation vegetables eaten and cholesterol levels?    A  positive B   negative

Construct a scatter plot from the given points and describe the correlation.

Give an example of two variables that you would expect to have a correlation close to or equal to -1. Give an example of two variables that you would expect to have a correlation close to or equal to 0. Remember that survey question you wrote? Take the class responses to your survey as data related to the one variable of your question. Now, take the list of responses from the survey question that one of your classmates wrote.  Write down both lists of data. (If one sample size happens to be different from the other, cut the larger sample size down to that of the smaller sample size.) Calculate the correlation between the two variables. Describe the linear relationship between these two variables. (data for number 3) How many cars have you had so far in your lifetime? 0,1,1,1,2,2,2,2,3,3,3,3,4,4,5,6,6,7,10.   How many days per week do you exercise? 0,0,0,1,2,3,3,3,3,4,4,4,4,5,5,5,5,6,6,6

Solve.

The table shows total earnings, y (in dollars ), of a food x,0,1,2,3,4,5,6 y,0,18,40,62,77,85,113 a. Make a scatter plot. b. What type of correlation is shown in the gra

Compute and interpret the coefficient of multiple correlation. Number 4 answer is missing.

r = - 1