ZuoTi.Pro
Question

Question 1 Marmots are large, stocky animals. Yellow-bellied marmots are easily identified by the brownish fur on their back coupled with their yellow to orange undersides. Males are larger than females They usually weigh about ten pounds, and grow to about 30 inches. The mean length of 50 male marmots was found to be 10.74 inches with a standard deviation of 6.44 inches. The mean weight was found to be 7.7 pounds with a standard deviation of 2.64 pounds (a) Consider the scatterplot of length vs. weight. Describe the relationship between lengtlh and weight. Oo oO 2 4 6810 12 Weight 2(b) Response Variable Explanatory Variable c) 65.11% of the variation in length is explained by the least-squares regression line on weight Find the correlation, r, between length and weight.2(d) Find the slope of the least-squares regression line. e) Interpret the slope 2 (f) Find the intercept of the least-squares regression line. 3g) Interpret the intercept, is it meaningful?L (h) Construct the least-squares linear regression line of length vs. weight. (i) Use your regression equation to predict the length of a marmot that weighs 10 pounds. G) Use your regression equation to predict the length of a marmot that weighs 18 pounds. Do you trust this prediction?

math   Statistics-And-Probability   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

Solution: D c) 65.l of the variation in length 1s explained by the least-Squaied egrebion ne On wei Find the Sqrt (o 651) 080 690 . 1: e) 1ntapret the slape when the weight tneiease by pand, on ovexnge the lengh. s ocreae by 968346 nch (3 (9) Interpret the 7ntercept, tst meaningful length at marmots when welght - o is -4.416 No, is not meaning Rd Vs. Consthuct the least-square (tneas Tegretion Weight lengthatbt weight bCov(var ) σ.80690t 6.44/2-64 el-968 34 69 a = -4.4162 7/

0 0
Add a comment
Know the answer?
Add Answer to:
Question 1 Marmots are large, stocky animals. Yellow-bellied marmots are easily identified by the brownish fur...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • I need help with the last part of this problem - ​(d) Would it be reasonable...

    I need help with the last part of this problem - ​(d) Would it be reasonable to use the​ least-squares regression line to predict the miles per gallon of a hybrid gas and electric​ car? Why or why​ not? - Thank you so much! An engineer wants to determine how the weight of a​ gas-powered car,​ x, affects gas​ mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for...

  • 1. If an estimated regression line has a y-intercept of 10 and a slope of 4,...

    1. If an estimated regression line has a y-intercept of 10 and a slope of 4, then when x = 2 the actual value ofy is: а. 18 b. 15 с. 14 d. unknown 2. Given the least squares regression line v = 5- 2x: a. the relationship between x and y is positive b. the relationship between x and y is negative. c. asx decreases, so does y. d. None of these choices. 3. A regression analysis between weight...

  • 5). a. An engineer wants to determine how the weight of a gas-powered car, x, affects...

    5). a. An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y...

  • 9 of 10 (0 complete) tween a child's height, x, and head circumference, y. She randomly...

    9 of 10 (0 complete) tween a child's height, x, and head circumference, y. She randomly selects 11 children from her our 0 Data Table th pret he Height (inches), x 27.5 24.25 25.25 26.25 25 mere Head Circumference (inches), y 17.6 17.2 17.2 17.6 16.9 17.7 17.4 17.6 17.4 17.6 17.6 is pre 27.75 26.5 27.25 26.75 26.75 27.75 is pre Et choi Print Done and head circumferencey. She randomly selects 11 children from her practice, measures the heights...

  • Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer...

    Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer choices Linear, negative, strong No form, weak Linear, positive, strong Curved, weak Question 2 Which of the following choices is most likely to be the correlation of the data in the scatterplot shown below? Group of answer choices -0.14 1.04 0.86 -0.92 Question 3 Most roller coasters get their speed by dropping down a steep initial incline, so it makes sense that we can...

  • I. The correlation between the foot lengths of fathers and their (adult) sons, measured in inches,...

    I. The correlation between the foot lengths of fathers and their (adult) sons, measured in inches, is r tells us that 0.92. This A. fathers with small feet tend to have sons with small feet. B. fathers with small feet tend to have sons with large feet. C. sons have, on the average, feet that are 0.92 times the length of their father's. D. 92 percent of all sons have feet that are bigger than their father's. E. there is...

  • Application: 1) After reading the missing report and examining the evidence, which linear equation should be...

    Application: 1) After reading the missing report and examining the evidence, which linear equation should be used in order to predict the height of the victim? 2) Graph the linear equation that should be used to determine the height of the victim on the axis below. 4Y 200 180t 160 140 120 100 80 60 40 20 75 60 45 30 15 Bone Length (cm) Height (cm) Examine the evidence and compare the data to your graph. Do you think...

  • Help & explain please Regression 1. A researcher is willing to investigate whether there is any...

    Help & explain please Regression 1. A researcher is willing to investigate whether there is any linear relation bet ween income (x) in thousand dollars and food expenditures (y) in hundred dollars. A sample data on 7 households given the table below was collected. Assuming that a linear model is used to solve the problem. r-3-D) r-I 83 24 13 61 15 17 1. Write down the linear model 2. Write down the fitted regression line and Interpret the slope...

  • Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year old baby and the weight y of the mature adult (30 years ol...

    Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females. 21 27 25 2420 15 25 21 17 24 6 22 18 19 lb 120 125 120 125 130 120 145 130 130 130 130 140 110 115 In...

  • PLEASE ANSWER ALL parts . IF YOU CANT ANSWER ALL, KINDLY ANSWER PART (E) AND PART(F)...

    PLEASE ANSWER ALL parts . IF YOU CANT ANSWER ALL, KINDLY ANSWER PART (E) AND PART(F) FOR PART (E) THE REGRESSION MODEL IS ALSO GIVE AT THE END. REGRESSION MODEL: We will be returning to the mtcars dataset, last seen in assignment 4. The dataset mtcars is built into R. It was extracted from the 1974 Motor Trend US magazine, and comcaprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973-74 models). You can find...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT