**4. Slow down and save** Fuel efficiency for many cars is related to how fast the car is driven. To explore this relationship, some researchers calculated the mean fuel efficiency for nine different car models at 13 different speeds. Here are the results.| Speed (mph) | Mean fuel efficiency (mpg) ||-------------|----------------------------|| 15 | 24.4 || 20 | 27.9 || 25 | 30.5 || 30 | 31.7 || 35 | 31.2 || 40 | 31.0 || 45 | 31.6 || 50 | 32.4 || 55 | 32.4 || 60 | 31.4 || 65 | 29.2 || 70 | 26.8 || 75 | 24.8 |(a) Calculate a quadratic model for these data using speed as the explanatory variable.(b) Sketch the scatterplot, along with the quadratic model.(c) Calculate and interpret the residual for the cars traveling 60 miles per hour.

Mean fuel efficiency is dependent variable (y) it depends on speed which is independent variable…

Answered: 4. Slow down and save Fuel efficiency…

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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To test if shift work leads to increase in caloric intake, a dietician had 20 of her clients record the amount of calories they consumed during the day. She believed those who work at night consumed more calories. The data below are in hundreds of calories. Is there a significant difference among the caloric inputs? DAY NIGHT BOYS: 44 42 45 41 41 41 39 36 40 36 GIRLS: 48 60 49 52 47 52 53 42 52 60 More info: -critical value of F : 4.493998 -obtained value of the interaction F= 12.033 What is the significance level of the homogeneity of variances test? Is the assumption violated?
The following data give the average price received by fishermen for several species of fish in 2000 and 2010. The price is in cents per pound. Fish Year 2000 Price (x) Year 2010 Price (y) COD 13.1 43.3 FLOUNDER 15.3 141.1 HADDOCK 25.8 151.1 MENHADEN 1.8 71.6 PERCH 4.9 105.7 CHINOOK 55.4 160.3 COHO 39.3 181.5 ALBACORE 26.7 137.2 SOFT SHELLED CLAMS 47.5 157.7 LOBSTERS AMERICAN 94.7 370.7 SEA SCALLOPS 135.6 416.8 SHRIMP 47.6 151.6 Create a regression equation for the data.y^= ________ Round to 2 decimal places. What is the correlation coefficient between the 2000 and 2010 prices. Round to 2 decimal places. If a type of fish was 41.3 cents per pound in 2000, how much would you expect to pay for it in 2010? __________¢/lbs Round to 1 decimal places.
The NTSB wants to estimate the difference between the average stopping distance for a car traveling 40 MPH on wet versus dry pavement. Ten vehicles were used for the study where each vehicle was driven at 40 MPH and came to a sudden stop on both wet pavement and dry pavement. The stopping distance was measured (feet) for each pavement condition and the data is shown below followed by Minitab output with the CI. Vehicle 1 2 3 4 5 6 7 8 9 10 Wet 107 101 109 112 105 106 111 108 98 116 Dry 72 69 74 73 72 72 74 74 67 79 Estimation for Paired Difference Mean StDev SE Mean 95% CI forμ_difference 34.700 2.452 0.775 (32.946, 36.454) a. Interpret the 95% CI.b. What assumption is needed for this CI to be valid?
Please explain how to solve the below question using excel. 1. The data in Table 7–6 were collected in a clinical trial to evaluate a new compound designed to improve wound healing in trauma patients. The new compound was compared against a placebo. After treatment for 5 days with the new compound or placebo, the extent of wound healing was measured. Is there a difference in the extent of wound healing between the treatments? (Hint: Are treatment and the percent wound healing independent?) Run the appropriate test at a 5% level of significance. Use the data in Problem 1. Pool the data across the treatments into one sample of size n = 250. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal. Specifically, use the following distribution 30%, 40%, 20%, and 10% and a = 0.05 to run the appropriate test. Percent Wound Healing Treatment 0-25% 26-50% 51-75% 76-100% New compound (n=125) 15 37 32 41 Placebo…
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To test if shift work leads to increase in caloric intake, a dietician had 20 of her clients record the amount of calories they consumed during the day. She believed those who work at night consumed more calories. The data below are in hundreds of calories. Is there a significant difference among the caloric inputs? DAY NIGHT BOYS: 44 42 45 41 41 41 39 36 40 36 GIRLS: 48 60 49 52 47 52 53 42 52 60 More info: -critical value of F : 4.493998 -obtained value of the interaction F= 12.033 1. What are the effect size/shared variability estimates, and what do they mean?
I'm not able to figure out the significant linear correlation between the data
The last answer I got is wrong. Please help.
5 and 6. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Based on Hershey's® claim for 368 total net grams of chocolate in the bag, approximately how many Kisses® too many or too few are there? Assume that the Kisses® were weighed with the wrapper, each wrapper weighs 0.12 grams, and the net grams listed on the bag are for the chocolate only. Give some possible…
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The table below shows the number of state-registered automatic weapons and the murder rate for several states in the U.S. 11.6 8.4 6.7 3.5 2.7 2.7 2.2 0.9 14.1 11.3 9.9 6.8 6.2 6.3 5.8 I = thousands of automatic weapons y = murders per 100,000 residents Keep in mind, the data in the table do not necessarily imply a direct causal link between the two variables. (In fact, can you think of any reasons why these variables may not be directly related to each other?) Also, the purpose of this question is not to make a political statement about guns or gun control. It's only to illustrate that data such as these sometimes have mathematical relationships that can be modeled with linear equations. Those relationships should always be questioned and examined carefully. With that said, these data can be modeled by the equation y = 0.87z + 3.95. Use this equation to answer the following; A) If this model is oconsistent, how many murders per 100,000 residents can be expected in a state with 8.7…
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