Use the data values in the table below to calculate the correlation between the variables x and y. Hint: Use your calculator to do this, you do not need to compute this by hand. x y 5 17.9 6 16.08 7 17.06 8 17.94 9 19.42 10 16.4 11 19.38 12 19.16 13 20.04

A random sample of college students was surveyed about how they spend their time each week.  The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week.  The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows:             Predicted hours spent watching TV = 17.21 – 0.23(hours spent working)   Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to…

Make a small explanation of the data of the 3 following histograms. Make a paragrah for each case. The data is the same but represented in diferent ways.

The mean salary offered to students who are graduating from Coastal State University this year is $24,230, with a standard deviation of $3712. A random sample of 75 Coastal State students graduating this year has been selected. What is the probability that the mean salary offer for these 75 students is $24,500 or less? Carry your intermediate computations to at least four decimal places. Round your answer to at least three decimal places.