escFH60-55-50-45-2Fuel efficiencyin milesper gallon)15+x105+01000 20003000 4000 5000 6000Weight (in pounds)▼(a) For these 21 vehicles, as weight increases, fuel efficiency tends to (Choose one)(b) For these 21 vehicles, there is (Choose one) correlation between weight and fuel efficiency.(c) Using the line of best fit, we would predict that a vehicle weighing 3000 pounds would have a fuel efficiency ofapproximately (Choose one)ContinueO 0Type here to searchhp727 VIE1640(@40-35.30-2520x3$4xxx²xxx%5xxxx6x4-&789)X5?Submit Assignment©2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center Accessibility12:22 PM60°F Cloudy^4)5/2/20225deleteendfio 11prt sc←backspaceOlockEspañolDER1 escThe scatter plot shows the weight and fuel efficiency for each of 21 vehicles. Also shown is the line of best fit for the data.Fill in the blanks below.6055-5045-xFuel efficiency40in milesper gallon)15+10-x5-0100020003000600050004000Weight (in pounds)(a) For these 21 vehicles as weight increases fuel efficiency tends to choose onelContinueOType here to searchhp75*E1?@235-30-25-20-#3A101$4xxR***%x5xxxxxNAFEMISS6T&Y74+.U8144(19448Submit Assignment© 2022 McGraw Hilll LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility4)60°F Cloudy^ G12:22 PM5/2/2022112prt scdelete←backspace1OOP[}numlockendCound7home110pa un8

here given , scatter plot for weight of vehicle and fuel efficiency

Answered: (a) For these 21 vehicles, as weight…

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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If you have 10 variables when computing correlation coefficients how many unique coefficients will you have overall?
23 views A well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with you. sales 75 77 69 63 79 80 77 70 73 87 72 73 80 80 69 84 77 72 74 81 temperature 32 36 31 31 34 29 32 35 28 31 30 31 29 35 36 28 32 33 32 33 Sale is in thousand liters and temperature is in degree Celsius. Data is Normally distributed You are required to determine the following information for some concrete decision:…
You conducted additional studies with these men and found the following: The RR for those who drank one drink per day was 1.50 (95% CI:1.32-1.67) in comparison to the abstainers. For those men who drank three or more drinks per day the RR compared to the abstainers was 4.20 (95% CI 2.68-5.85). Which one of Hill’s criteria does this illustrate? Explain.
Researchers were interested in assessing whether stress levels at the beginning of the semester are related to (i.e., correlated with) stress levels during finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 (X - MX) (Y - MY) (X - MX) (Y - MY) (X - MX)2 (Y - MY)2 1 22 22 -4.4 -6 2 32 34 5.6 6 3 24 25 -2.4 -3 4 28 30 1.6 2 5 26 29 -0.4 1 What is the observed correlation coefficient (i.e., r value)?
10) The top point in the scatter plot (6.5, 1459) is for Washington, DC. Find the predicted DC violent crime rate if x=6.5. Then find the residual for DC using the predicted violence crime rate and the actual violent crime rate (the actual crime rate is provided in the first sentence of this question). Prediction = Actual y-value = Residual =
A statistical program is recommended. A company provides maintenance service for water-filtration systems throughout southern Florida. Customers contact the company with requests for maintenance service on their water-filtration systems. To estimate the service time and the service cost, the company's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors, the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performed the service. Data for a sample of 10 service calls are reported in the table below. ŷ = Repair Time in Hours 2.9 3.0 ŷ = 4.8 1.8 2.4 4.9 4.7 4.8 4.4 4.5 Months Since Last Service 2 6 8 3 2 7 9 8 4 6 Type of Repair Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Repairperson Dave Newton Dave…
You have a theory: people who have a high income (X) are generally healthier (Y). You collect some data from local nursing homes and retirement homes and find no linear correlation between income and health. Of the 4 correlation mistakes we discussed in class, which one is the most likely here? Why? A supplements company conducted a study and found a strong positive relationship between use of its supplements and health. It advertised that it found a correlation coefficient of +1.25. What is wrong with this statement?
2. I surveyed 150 adults in the U.S. and asked them how many hours of TV the watched on average per week. I then ran a regression of # of hours of TV on whether or not they were a college graduate (=1 if yes, =0 if no), their age in years, the number of children in their household, and whether or not they live a cold climate (=1 if latitude is greater than 41.2, =0 otherwise). The results fro the regression are shown in the table below. Estimate p-value College Graduate -0.8 0.003 Age 0.1 0.150 Number of Children 0.10 0.521 Cold Climate 1.8 0.047 Intercept -1.23 0.041 (a) What is the dependent variable in this regression? (b) What are the independent variable(s) in this regression? (c) What is the unit of analysis? (d) What is the sample size? (e) What is one binary variable used in this analysis? (f) What is one ratio variable used in this analysis? (g) What is the predicted number of TV hours watched by a 50 year old, colleg graduate, with no children at home who lives in Arizona…
A researcher is studying the intensity of hurricanes that entered the Gulf of Mexico between 1975-2015 and the average water temperature of the Gulf of Mexico at the hurricane's peak strength. What is the independent and dependent variable in this study?
Research was conducted to find out the relationships between pro-environmental attitudes and 20 concepts of nature. As expected, the pro-environmental attitudes were related to several of the concepts of nature measured. One of the possible research objectives in this study is to assess the relationship between level of knowledge on nature or the environment (X), and the frequency of engaging in pro-environmental behavior (Y) per month, e.g., recycling and using biodegradable products. The data from your study (from 15 respondents) are as follows: ID Y XY y2 1 7 12 3 7 11 5 8 19 9 7 4 8. 11 9. 2 10 8 16 11 7 12 19 13 7 10 14 7 13 15 3 ТОTAL
The full question for the last question is written down below Fail/fail to reject H0. There is insufficient/sufficient evidence at the 10% level of significance to support the claim that there is a linear relationship between weight and number of hours slept.

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