Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data322.dat. Find the correlation between the two variables. Use these five numbers to find the equation of the regression line for predicting length from time. Use the same five numbers to find the equation of the regression line for predicting the time an icicle has been growing from its length. Round your answers to three decimal places
time length 10 .6 20 1.6 30 3.5 40 5.4 50 6.8 60 11 70 12.7 80 12.1 90 15 100 15.9 110 20.3 120 16.9 130 21.3 140 22.5 150 24.8 160 24.7 170 29.3 180 31.7
times x = | |
times s = | |
lengths x = | |
lengths s = | |
r = | |
time = | + length |
length = | + time |
Find the mean and standard deviation of the times and icicle lengths for the data on...
can u clearly show me how to find a sample size (N) , A2, and can you also tell me why we are using an X Chart? Problem 1 A restaurant wants to control kitchen preparation time of dinner meals using an X chart. The process standard deviation is unknown. Each evening a manager takes a random sample of 14 dinner orders and measures and records their kitchen preparation time. Create an X Chart using data in the table below...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significa correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 758 621 518 510 492 483 (a)...
IB math studies 1. Ten students were asked for their average grade at the end of their last year of high school and their average grade at the end of their last year at university. The results were put into a table as follows: Student High School grade, University grade, y 90 3.2 2.6 75 80 3.0 70 95 3.8 85 90 3.8 2.8 70 95 85 3.0 3.5 10 Total 835 30.4 (a) Given that s, 8.96, sy-0.610 and...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms and the return on equity of their respective firm, using the dataset below. The variable salary shows the annual salary of a CEO in thousands of dollars, so that y = 150 indicates a salary of $150,000. Similarly, the variable ROE represents the average return on equity (ROE)for the CEO’s firm for the previous three years. A ROE of 20 indicates an average return...
Find the standard error of estimate for the given paired data. 9) The equation of the regression line for the paired data below isy -3x. Find the standard error of estimate x 2 4 5 6 у|711 13 20 A) 5.00 D) 2.2361 B) 6.2750 C) 4.1892 A-2 Classify the conclusion of the hypothesis test as a Tye end customary ee for dar dlinic for this 10) A health insurer has determined that the procedure is $1200. They suspect that...
CASE 1-5 Financial Statement Ratio Computation Refer to Campbell Soup Company's financial Campbell Soup statements in Appendix A. Required: Compute the following ratios for Year 11. Liquidity ratios: Asset utilization ratios:* a. Current ratio n. Cash turnover b. Acid-test ratio 0. Accounts receivable turnover c. Days to sell inventory p. Inventory turnover d. Collection period 4. Working capital turnover Capital structure and solvency ratios: 1. Fixed assets turnover e. Total debt to total equity s. Total assets turnover f. Long-term...