1. A consumer research group examining the relationship between the price of meat (per pound)and fat content (in grams) gathered data that produced the following scatterplot.Scatterplot of Price/lb vs Fat GramsPrice/lb987-4-3-2-A. remain the same.B. become positive.C. become weaker negative.10Fat Gramsbecome stronger negative.E. become zero.15If the point in the lower left-hand corner (2 grams of fat; $3.00 per pound) is removed, thecorrelation would most likely20 10. In a study of streams in the Adirondack Mountains, the following relationship was foundbetween the water's pH and its hardness (measured in grains). Is it appropriate to summarizethe strength of association with a correlation?E8.07.6726.A125250Hardness (grains)375500A. All the conditions for correlation are met.B. The scatterplot has outliers; correlation is not appropriate.C. The scatterplot is not linear; correlation is not appropriate.D. The variables are not quantitative; correlation is not appropriate.E. None of the above.

Given a graph, in the above graph these are showing relationship between price of meat and fat…

Answered: 1. A consumer research group examining…

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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A study by Judge and Cable (2010) suggests that there is a positive relationship between weight and income for a group of men. The following data is similar to what was collected in the study. To simplify the weight variable, the men are categorized into five categories that measure actual weight relative to height from 1=thinnest to 5=heaviest. Income is recorded as thousands earned annually. Weight (X) Income (Y) 4 151 5 88 3 52 2 73 1 49 3 92 1 56 5 143 a. Calculate the Pearson correlation for these data. b. Is the correlation statistically significant? Use a two-tailed test with a=.05.
14. The following table gives the miles per gallon and the load capacity for 6 SUV's. Miles per Gallons Load Сарacity 19 860 17 970 16 1035 16 1165 14 1180 13 1360 a. Develop a scatter diagram for the data. b. How would you characterize the relationship between miles per gallon and load capacity?
23. Market research has provided data on the monthly sales of a licensed T-shirt for a popular rock band. Determine the equation of the median-median line. Round final answers to two decimal places. T-shirt Price 25 40 15 20 35 10 30 T-shirt Sold 1475 920 1960 1600 1100 2150 1325
OA. The scatterplot indicates there is a negative, strong, linear relationship between Median Salary and Annual Sales. OB. The scatterplot indicates there is a negative, weak, linear relationship between Median Salary and Annual Sales. OC. The scatterplot indicates there is a positive, strong, linear relationship between Median Salary and Annual Sales. OD. The scatterplot indicates there is a positive, weak, linear relationship between Median Salary and Annual Sales. OE. The scatterplot indicates there is no relationship between Median Salary and Annual Sales.
D. Construct a scatterpiot for the folowing data and use it to comment on between the variables. the form, direction, and strength Age of a person, years 11 12 13 14 15 16 17 18 19 20 Weight, kg 40 42 38 35 45 51 48 48 50 47 Age of a car, 2. 0.5 1.5 4.5 5 years Mileage. kmt. 16 15 10 12 10 12 11 11 10 2.
1. Create a histogram for the data for time spent studying. 2. Create a scatter plot to show the relationship of time spent studying and exams score. 1. Looking at the scatter plot, describe the relationship between the two variables, (identify the direction and magnitude)
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.2 6.9 3.6 2.5 2.8 2.6 0.4 14 11.3 10.2 7.4 6.5 6.3 5.9 4.5 x thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equationý = 0.85x + 4.12. Use this equation to answer the following; %D A) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer = Nearest whole value. B) How many murders per 100,000 residents can be expected in a state with 1 thousand automatic weapons? Nearest whole value Answer =
The following table shows the number of hours of safety training at a large industrial plant for each of 6 divisions within the plant and the number of work hours lost due to accidents. X: Hours of safety training 10 19 30 50 65 80 Y: Work hours lost 80 65 68 35 10 12 a. Determine the Pearson's Coefficient of Correlation for the given data. Answer rounded to two decimal places b. Which of the following is an apporpriate comment for the correlation between X and Y? There is a strong positive correlation between X and Y There is a moderate positive correlation between X and Y There is a weak positive correlation between X and Y There is a strong negative correlation between X and Y There is a moderate negative correlation between X and Y
2.7 - a. Write a few short sentences that compare the center and the spread for each dot plot. b. Based on this sample, cereals from which manufacturer tend to have no variation in calories?
A study was conducted to see if there was a linear relationship between the length in cm of seals in overhead photographs and their weight in kilograms. Below is the data: 4. Overhead 7.2 7.4 9.8 9.4 8.8 8.4 7.6 length Weight 116 154 250 200 197 194 170 а. If the length of a seal was 8.2 cm, what is its weight? b. Can you calculate the weight of a seal if it is 20 cm long?

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