A company collected data on its sales revenue and advertising expenditures for its first eight years inbusiness with the results shown. (Units are in millions of dollars). What is the proportion ofvariability in sales that is explained by the level of advertising expenditures?1.41.61.62.02.02.22.42.6advertising (x)sales (y)180184190220186215205240202.5SS..= 1.235 SS.,= 51.9 SS, = 3152I= 1.9750.692O 0.832O 1.0O 0.016

The table shows the sales revenue and advertising expenditures for its first eight years in…

Answered: A company collected data on its sales…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Determine the relationship/correlation of dietary intake and energy expenditures. Determine the degree of correlation. Subjects Dietary Intake (x) (kcal) 3090 Energy Expenditure (y) (kcal) 3220 1 2 2461 4029 3 2466 3064 4 2515 3286 2351 2741 2462 1887 2810 2402 2767 2516 9 2795 3378 10 2815 3444 11 2153 3298 12 2384 2763 13 2536 3603 14 3227 3779 3530 15 1961 16 2455 3034 17 1638 1986 18 2224 2374 19 1928 2556 20 2531 3201 21 3322 3788 22 2662 3181 23 2760 2940 24 2766 3251 25 2252 2987 26 2346 3486 27 2252 2275 28 2981 3778 2088 29 2704 30 2436 3475 Source: De Guzman, P., et al, "A Study on the Energy Expenditure, Dietary Intake and Pattern of Daily Activity Among Various Occupational Groups - Sugarcane Workers," The Philippine Journal of Science, 113:1-2, pp. 29-43, 1984
The scatterplot below shows the relationship between the number of calories and the amount of carbohydrates (in grams) Starbucks food menu items contain. Since Starbucks only lists the number of calories on the display items, we are interested in predicting the amount of carbs a menu item has based on its calorie content. 25 80 20- 20- 60 15 0+...... 10 40- 5 -20- 20 200 300 400 500 100 200 300 400 500 -20 20 40 100 -40 Calories Calories Residuals Based on the scatter plot in Question 21, which one of the following options will be your best guess for the correlation (r) between calories and carbs? Or = 1.5 Or= -0.3 Or = 0 Or = 0.6 Carbs (grams) Residuals
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Protein and Diastolic Blood Pressure A study wasconducted with vegetarians to see whether the numberof grams of protein each ate per day was related todiastolic blood pressure. The data are given here. Ifthere is a significant relationship, predict the diastolicpressure of a vegetarian who consumes 8 grams ofprotein per day. (This information will be used forExercises 10 and 12.) Grams x 4 6.5 5 5.5 8 10 9 8.2 10.5Pressure y 73 79 83 82 84 92 88 86 95
The independent variable is ---Select--- income or BMI and the dependent variable is ---Select--- income or BMI.
Ocean currents are important in studies of climate change, as well as ecology studies of dispersal of plankton. Drift bottles are used to study ocean currents in the Pacific near Hawaii, the Solomon Islands, New Guinea, and other islands. Let x represent the number of days to recovery of a drift bottle after release and y represent the distance from point of release to point of recovery in km/100. The following data are representative of one study using drift bottles to study ocean currents. x days y km/100 72 14.7 203 35.6 76 32 5.3 94 19.5 11.7 (a) Verify that Ex = 477, Ey = 86.8, Ex? = 62,029, Ey? = 2028.68, Exy = 11036.6, and r= 0.93853. Ex 477 Ey 86.8 Ex2 62029 Ey2 2028.68 Exy 11036.6 r 0.93853 (b) Use a 1% level of significance to test the claim p > 0. (Use 2 decimal places.) t 8.15 critical t 4.54 Conclusion O Reject the null hypothesis, there is sufficient evidence that p > 0. O Reject the null hypothesis, there is insufficient evidence that p> 0. O Fail to reject the null…
Please solve d to f parts of this question
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 672 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 46 57 53 41 40 40 384 580 542 358 306 320
I tried to do these problems but I'm not sure if I did them right. I need someone to check my answers with.
A farmer in Indiana wants to examine the relation between the number of very hot days (days when the high temperature exceeds 95° F) and the corn production of his farm (in bushels of corn per acre). He looks at the data for 10 summers. Let x¡ = the number of hot days during the ith summer. %3D = the corn production (in bushels per acre) during the ih summer. Let yi The data are in the table below:. 4 6. 7 8. 9. 10 i 2 14 10 7. 8. 1 12 Xi Yi 95 80 83 87 88 85 99 102 79 95 a) Make a scatterplot of the data. b) Examine your scatterplot and, without performing any calculations, EXPLAIN whether you expect the correlation coefficient to be closer to -1, 0, or 1 and WHY. c) Find the sample mean and standard deviation for each variable. %3D %3D S. %3D y d) Place an asterisk on your scatterplot at the point (x,ỹ).
Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink. Shelia's measured glucose level one hour after the sugary drink varies according to the Normal distribution with µ = 124 mg/dl and σ = 13 mg/dl. If a single glucose measurement is made, what is the probability that Shelia is diagnosed as having gestational diabetes?

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