y60402022Need Help?4Read It6688y6040202246688XX Use regression to find a quadratic model for the given data. (Round the terms to four decimal places.)135 663.2 35.2 26.6 9.8y =60Plot the data along with the regression equation.4020y60Xy402482.368y604020604024'68

Introduction: A quadratic regression model is to be fitted to the given data set, with x as the…

Answered: Use regression to find a quadratic…

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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Calculate the least square regression equation for the data. Include the slope and y intercept. Round to the nearest hundredth.
answer using minitab or excel
Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y= mx +b X y 1 92 2 110 4 5 3 139 160 171 6 196
Use the cost model screenshot attached to answer the question. Thanks for the help. Use the weekly cost model to estimate the total weekly cost when the weekly demand is 147. Round to the nearest dollar. $
Make a scatter plot of the data and determine which type of model best fits the data. linear quadratic exponential cubic
For the data in the table, find the regression equation. Round the slope and y-intercept to two decimals. y 1 4 11 8 13 9. 16 11 17 12 18 14 22 18 24 19 26 20 38 3DR Submit Question
Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places). x y 4 36.68 5 35.85 6 35.52 7 35.99 8 38.46 9 38.93 10 38 11 38.07 12 39.54 13 40.11 14 41.58 The equation is y^ = x + Interpret the slope For each additional 33.38 years, the annual high temperature will increase by 1 degree on average. For each additional 0.52 years, the annual high temperature will increase by 1 degree on average. For each additional year, the annual high temperature will increase by 0.52 degrees on average. For each additional year, the annual high temperature will increase by 33.38 degrees on average. Interpret the y-intercept In 2000, the temperature was about 33.38. It does not make sense to interpret the intercept in this scenario. In 2004, the…
An educator wants to see how the number of absences for a student in her class affects the student's final grade by formulating the equation of the regression line. The data obtained from a sample are shown. Required: Slope of the regression line Only the final answer should be rounded-off to TWO decimal places. 12 Number of absences (x) 10 2 0 7 4 Final Grade (y) 65 68 70 94 77 96
Using the given equation for the regression line shown, determine the amount of time required to completely burn the candle. [2C] A Burning Candle 35.0 30.0 25.0 y = -0.2x + 30 20.0 15.0 10.0 5.0 0.0 20 40 60 80 100 Time (min) Height of Candle (cm)
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. The table shows the shoe size and heights (in.) for 6 men. Shoe size, x Height, y Find the regression equation. ŷ=x+ (Round to three decimal places as needed.) Choose the correct graph below. O A. Height (in.) 75+ 65- 8 Shoe size N O B. Height (in.) 75+ 65+ 8.5 65.0 Shoe size 9.5 66.0 o 11.0 67.0 O C. Height (in.) 75 65 8 Shoe size 12.0 73.0 Q 13.0 71.0 D. Height (in.) 75- 65 13.5 73.0 Shoe size Q o
Use the cost model screenshot attached to answer the question. Thanks for the help. What is m? Round to 1 decimal place.
Grades on Midterm Grades on Final79 8464 7676 8385 9170 7586 7960 7975 8781 8263 63 The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1x . Round the slope and y-intercept to the nearest thousandth.

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Use regression to find a quadratic model for the given data. (Round the terms to four decimal places.) X 1 3 5 6 8 y 63.2 35.2 26.6 9.8 2.3 y = Plot the data along with the regression equation. y 60 40 20 60 40 4 6 8 y 60 40 20 60 y 40 2 6 8