12:51KA pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. Sherandomly selects 11 children from her practice, measures their heights and head circumferences, and obtains theaccompanying data. Complete parts (a) through (g) below.Click the icon to view the children's data.Data Table(a) Find the least-squares regression line treating height as the explanatory variable and head circumference as theresponse variable.y = x+(Round the slope to three decimal places and round the constant to one decimal place as needed.)Height (inches), x Head Circumference (inches), y27.517.424.517.025.7517.02617.524.2516.827.7517.526.2517.217.417.217.417.427.2526.526.527.75Vol) 1LTE2=Printا... ا...Done45%X A pediatrician wants to determine the relation that exists between a child's height, x, and head circumference, y. She randomly selects 11 children from her practice, measures their heights and head circumferences, and oblains the accompanying dala. Completeparts (a) through (g) below.Click the icon to view the children's data.24ResidualQGResidualO A. Yes the calculated model can be used for any child's height.OB. Yes this height is possible and within the scope of the model.QO C. No-this height is outside the scope of the model.OD. No this height is not possible.E. More information regarding the child is necessary to make the decision.Click to select your answer(s).FT.Residua(f) Notice that two children are 26.5 inches tall. One has a head circumference of 17.3 inches; the other has a head circumference of 17.5 inches. How can this be?O A. The only explanation is that the difference is due to the fact that one observation was of a boy, and one observation was of a girl.OB. There is no logical explanation for this-the two observations in question should have had the same head circumference.The only explanation is that the difference was caused by measurement error.O C.OD. For children with a height of 26.5 inches, head circumferences vary.(g) Would it be reasonable to use the least-squares regression line to predict the head circumference of a child who was 32 inches tall? Why?QPro20ResidualQG2

Answered: Image /qna-images/answer/a5edbbbe-1a56-4eed-9781-2d6a5ba6e38c.jpg

Answered: 12:51 K A pediatrician wants to…

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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Show all calculations, do not use excel. Regression analysis questions.
The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Temperature: Number of absences 72 3 85 7 91 10 90 10 88 8 98 15 75 4 100 15 80 5 (a) Find the least square regression line. Round slope and y-intercept nearest hundredth. (b) Predict the number of absences when temperature is 88. (c) Find the residual when temperature is 98. Analyze the result. (b) Test the claim, at the α = 0.05 level of significance, that a linear relation exists between the temperature and number of absences. Apply classical approach and p-value approach. (c) Find 95 %…
A medical study on the systolic blood pressure readings (top number) on men over 40 years old results in the data below. The x-value is the number of years past 40 years old and the y-value is the systolic blood pressure reading. x y 8 63 11 77 14 86 17 90 20 140 Find the least squares regression line modeling this data. What is the slope of the regression line? Round your answer to three decimal places. Provide your answer below:
A candy maker surveyed chocolate bars available in a local supermarket and found the least squares regression model shown below. Use the model to answer parts a through c below. Calories = 28.9+ 12.65Fat(g) +2.41Sugar(g) a) The hand-crafted chocolate she makes has 15g of fat and 20g of sugar. How many calories does the model predict for a serving? calories (Type an integer or a decimal. Do not round.) b) In fact, a laboratory test shows that her candy has 248 calories per serving. Find the residual corresponding to this candy. calories (Type an integer or a decimal. Do not round.) c) What does that residual say about her candy? Choose the correct choice below and fill in the answer box within your choice. (Type an integer or a decimal. Do not round.) OA. Her candy has OB. Her candy has more calories than might be expected from the model. fewer calories than might be expected from the model.
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. LOADING... Click here to view the weight and gas mileage data. Question content area bottom Part 1 (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ModifyingAbove y with caretyequals=negative 0.00756−0.00756xplus+(44.844.8) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) Part 2 (b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Use the answer from part a to find this answer.) A. For every pound added to the weight of the car, gas mileage in the…
Based on data taken from airline fares and distances One of the flights was 350 miles and its residual was - flown, it is determined that the equation of the least- 105.00. What was the fare for this flight? squares regression line is ŷ = 102.50+ 0.65x, where y is the predicted fare and x is the distance, in miles. $102.50 $435.00 $225.00 $330.00
us the least-squares regression method to solve for accidents in May.
The final question in the example is (f) At an archaeological site with elevation 6.6 (thousand feet), what does the least-squares equation forecast for y = percentage of culturally unidentified artifacts? (Round your answer to two decimal places.) %
study investigated how the content of vitamin A in carrots is affected by the time being cooked. In this example: X represents the amount of time, in minutes, that the carrot slices were cooked Y represents the content of vitamin A (in milligrams) in the carrot slices The least-squares regression equation for this relationship is: Y = 22.4 – 0.65X Using the regression equation, predict the vitamin A content (in milligrams) for a carrot slice that was cooked for 15 minutes. Provide your answer as a numeric value rounded to two decimal places.
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. LOADING... Click here to view the weight and gas mileage data. Question content area bottom Part 1 (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ModifyingAbove y with caretyequals=negative 0.00756−0.00756xplus+(44.844.8) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) Part 2 (b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Use the answer from part a to find this answer.) A. For every pound added to the weight of the car, gas mileage in the…
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. LOADING... Click here to view the weight and gas mileage data. Question content area bottom Part 1 (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ModifyingAbove y with caretyequals=enter your response herexplus+(enter your response here) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)
Use the table of x and y values below to determine the slope of the least-squares regression line.

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