An article in Journal of Food Science [2001, Vol.66(3), pp. 472-477] reported on a study of potato spoilage basedon different conditions of acidified oxine (AO), which is a mix-ture of chlorite and chlorine dioxide. The data follow:AO Solution (ppm)% Spoilage501005060100603030200605029400253015(a) Do the AO solutions differ in the spoilage percentage? Useα = 0.05.(b) Find the P-value of the test. Estimate the variability due torandom error.(c) Plot average spoilage against AO solution and interpret theresults. Which AO solution would you recommend for usein practice?(d) Analyze the residuals from this experiment.

Given that By using excel single factor anova

Answered: An article in Journal of Food Science…

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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The annual consumer expenditures and annual net incomes of a sample of 7 families in USA in 2020 are shown on the table below. Solve the following: 1. Correlational Analysis 2. Regression Analysis NET INCOME (x) EXPINDETURE (y) 15,0000 7,000 18,000 14,000 26,000 22,000 4,000 FAMILY А 600,000 1,500,000 300,000 1,600,000 1,700,000 1,800,000 1,100,000 F BCDE EG
A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized: y = β0 + β1x + ε where y = traffic flow in vehicles per hour x = vehicle speed in miles per hour. The following data was collected from rush hour for 6 different highways in the city. Traffic Flow(y) Vehicle Speed(x) 1,254 35 1,327 40 1,227 30 1,335 45 1,348 50 1,126 25 In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation. ŷ = b0 + b1x + b2x2 1. Develop an estimated regression equation for the data of the form ŷ = b0 + b1x + b2x2. (Round b0 to the nearest integer and b1 to two decimal places and b2 to three decimal places.) 2. Find the value of test statitc and p-value. 3. Based on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.)
The following table gives information on the amount of sugar (in grams) and the calorie count in one serving of a sample of 13 varieties of Kellogg's cereal. Sugar (grams) 4. 15 12 11 8. 8 14 20 13 Calories 140 200 150 110 140 80 200 100 120 190 || 190 110 120 %3D The predictive regression equation of the number of calories on the amount of sugar is y = 97.555 + 4.730x, where x is amount of sugar (in grams) and y is calories. Estimate the calorie count for a cereal with 54 grams of sugar per serving. Round your answer to the nearest integer. calories
You work for an insurance company and are studying the relationship between types of crashes and the vehicles involved. As part of your study, you randomly select 3589 vehicle crashes and organize the resulting data as shown in the contigency table. At α=0.10, can you conclude that the type of crash depends on the type of vehicle? Complete parts (a) through (d). Vehicle Type of crash Car Pickup Sport utility Single-vehicle 866 323 340 Multiple-vehicle 1145 487 428 Question content area bottom Part 1 (a) Identify the claim and state the null and alternative hypotheses. H0: The type of crash and the type of vehicle are ▼ independent dependent . Ha: The type of crash and the type of vehicle are ▼ dependent independent . The ▼ alternative hypothesis null hypothesis is the claim.
Test the claim Ho: Ps = 0 versus Ha: Ps # 0 that there is a significant correlation between purchased seed expenses and fertilizer and lime expenses in the farming business. The critical value is 0.738 %3D Seed Expenses Rank Fertilizer/lime Rank d. Expenses 480 490 1530 2060 490 480 266 402 741 642 380 470 879 858 360 560
A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized: y = B, + B,x + E where y = traffic flow in vehicles per hour x = vehicle speed in miles per hour. The following data were collected during rush hour for six highways leading out of the city. Traffic Flow (y) Vehicle Speed (x) 1,257 35 1,329 40 1,227 30 1,335 45 1,351 50 1,123 25 In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation. ý = bo + b,x + b,x? (a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x2. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.)
7B A study was conducted that measured the total brain volume (TBV) (in mm3) of patients that had schizophrenia and patients that are considered normal. Table #1 contains the TBV of the normal patients and Table #2 contains the TBV of schizophrenia patients ("SOCR data Oct2009," 2013). Table #1: Total Brain Volume (in mm3) of Normal Patients 1663407 1583940 1299470 1535137 1431890 1578698 1453510 1650348 1288971 1366346 1326402 1503005 1474790 1317156 1441045 1463498 1650207 1523045 1441636 1432033 1420416 1480171 1360810 1410213 1574808 1502702 1203344 1319737 1688990 1292641 1512571 1635918 Table #2: Total Brain Volume (in mm3) of Schizophrenia Patients 1331777 1487886 1066075 1297327 1499983 1861991 1368378 1476891 1443775 1337827 1658258 1588132 1690182 1569413 1177002 1387893 1483763 1688950 1563593 1317885 1420249 1363859 1238979…
An article in Technometrics by S. C. Narula and J. F. Wellington (“Prediction, Linear Regression, and a Minimum Sum of Relative Errors,” Vol. 19, 1977) presents data on the selling price (y) and annual taxes (x) for 24 houses. The taxes include local, school and county taxes. The data are shown in the following table. Sale Price/1000 Taxes/1000 25.9 4.9176 29.5 5.0208 27.9 4.5429 25.9 4.5573 29.9 5.0597 29.9 3.8910 30.9 5.8980 28.9 5.6039 35.9 5.8282 31.5 5.3003 31.0 6.2712 30.9 5.9592 30.0 5.0500 36.9 8.2464 41.9 6.6969 40.5 7.7841 43.9 9.0384 37.5 5.9894 37.9 7.5422 44.5 8.7951 37.9 6.0831 38.9 8.3607 36.9 8.1400…
A statistical program is recommended. A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized: y = β0 + β1x + ε where y = traffic flow in vehicles per hour x = vehicle speed in miles per hour. The following data were collected during rush hour for six highways leading out of the city. Traffic Flow(y) Vehicle Speed(x) 1258 35 1330 40 1225 30 1337 45 1351 50 1123 25 (a) Develop an estimated regression equation for the data of the form ŷ = b0 + b1x + b2x2. (Round b0 to the nearest integer and b1 to two decimal places and b2 to three decimal places.) (b) Use α = 0.01 to test for a significant relationship. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) (c) Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal…
5. (10) A recent Gallup Organization Poll asked male and female Americans whether they were pro or pro choice when it comes to abortion issues. The results of the survey are as follows: life Opinion Pro-Life Pro-Choice Gender Men 195 200 Women 240 250 Test whether an individual's opinion regarding abortion is independent of gender at the a = 0.025 level of significance.
3. For the data provided in the given table Thermocouple 821 835 816 (x) 820 840 836 825 840 833 827 IR 818 834 824 821 845 830 819 843 832 835 measurement (y) a) Fit a simple linear regression model. b) Calculate the correlation coefficient.
Can someone please explain it to me ASAP???!!!

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