The following observations are for two quantitative variables, x and y. Observation x y 1 31 26 2 80 21 3 10 81 4 17 80 5 35 71 6 20 60 7 28 82 8 67 23 9 47 62 10 57 58  Observation x y 11 78 34 12 67 41 13 39 35 14 37 60 15 87 23 16 64 40 17 51 30 18 43 65 19 89 24 20 18 88 (a) Develop a crosstabulation for the data, with x as the row variable and y as the column variable. For x use classes of 10–29, 30–49, and so on; for y use classes of 20–39, 40–59, and so on.       y     Grand Total     20-39 40–59 60–79 80–99     10-29             30–49           X 50–69             70–90             Grand Total           (b) Compute the row percentages. (Round your answers to one decimal place.)       y     Grand Total     20-39 40–59 60–79 80–99     10-29             30–49           X 50–69             70–90             Grand Total           (c) Compute the column percentages. (Round your answers to one decimal place.)       y           Grand Total     20-39 40–59 60–79 80–99           10-29                   30–49                 X 50–69                   70–90                   Grand Total

The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1) is the number of hours spent studying, and the second independent variable (x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 0 2 17 1 2 20 3 2 25 5 4 26 5 4 26 Copy Data Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.05 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship is statistically significant. Answer How to enter your answer (opens in new window) 2 Points Keypad Keyboard Shortcuts Selecting a checkbox will replace the entered…

Use the following data for questions 36 thru 38 below: Hint (Calculate the missing values using the formula for determining error. ) Period 1 2 3 4 5 6 Actual Demand 445 420 435 450 Forecast 420 450 440 450 430 Error 25 10 -30 20 Absolute Value of Error What is the mean forecast error (MFE) or bias for the six months of data? Absolute Percentage Error

5 and 6. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag.     Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61   Based on Hershey's® claim for 368 total net grams of chocolate in the bag, approximately how many Kisses® too many or too few are there? Assume that the Kisses® were weighed with the wrapper, each wrapper weighs 0.12 grams, and the net grams listed on the bag are for the chocolate only. Give some possible…