Construct a scatter plot Construct a scatterplot and identify the mathematical model that best fits the data.Assume that the model is to be used only for the scope of the given data and consider onlylinear, quadratic, logarithmic, exponential, and power models. Use a calculator orcomputer to obtain the regression equation of the model that best fits the data. You mayneed to fit several models and compare the values of R².The table below shows the weight of crops of oranges and the resulting gallons of juice. Usingthe weight as the independent variable, find the regression equation of the best model.x (pounds of oranges). 4321 5012 5239 5366 8978 25413y (gallons of orange juice) 341.3 391.5 399.6 417.2 656.1 1927.3Oy -13.07-0.079xy=264.43 e10001xOy=-7511.9-923.99 In xOy=0.079x0.998

X (pounds of oranges) 4321 5012 5239 5366 8978 25413 Y (gallons of Orange juice) 341.3 391.5 399.6…

Answered: Construct a scatterplot and identify…

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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An important factor for used car buyers when determining the value of a car is how far the car has been driven. To examine this, a used car dealer randomly selects 50 five-year-old Kia Sportage cars that have been sold at auction during the past month. Each car was in top condition and equipped with automatic transmission, GPS and air conditioning. The following Microsoft Excel output analysis of these data shows the price ($'000) and the number of kilometres ('000Km) on the odometer. Use these results to answer the questions on the next page. Distance Versus Price of Used Kia Sportage 35 30 25 30 40 50 60 70 80 90 Distance ('000km) Regression Statistics t Stat P-value 15.82319 3.51E-15 2.563823 0.04773 -9.61369 3.28E-10 Price ($'000) 10 5 0 20 Multiple R R Square Adjusted R Square Standard Error Observations Intercept Distance 0.879723 0.773913 0.765539 3.460695 29 Coefficients Standard Error 40.56784 -0.45886
Given that v = (2,3, 4), vị = (1,0, 1), v2 = (0,–1,1), v3 = (-1,–1,1). %3D Express v as a linear combination of v1, v2, v3 .
What should we do when we have (imperfect) multicollinearity? Drop some of the independent variables. Add more independent variables in order to reduce multicollinearity. Consider testing whether the highly collinear variables are jointly significant. O Ignore it no matter what.
Express the GCD of (210,162) as a linear combination of 210 and 162.
The data indicate the number of wins and the number of goals scored for teams in the National Hockey League after the first month of the season. No. of wins, x B 5 6 9 10 0.885 Part: 0/3 9 Part 1 of 3 5 3 No. of goals, y 10 16 20 23 28 21 11 12 No. of wins, x 11 7 13 5 7 No. of goals, y 20 11 10 20 29 12 17 (a) Find the equation of regression line and draw the line on the scatter plot, but only if r is significant. Round the slope and y-intercept to four decimal places, if necessary. r (Choose one) significant at the 5% level. X
Range of ankle motion is a contributing factor to falls among the elderly. Suppose a team of researchers is studying how compression hosiery, typical shoes, and medical shoes affect range of ankle motion. In particular, note the variables Barefoot and Footwear2. Barefoot represents a subject's range of ankle motion (in degrees) while barefoot, and Footwear2 represents their range of ankle motion (in degrees) while wearing medical shoes. Use this data and your preferred software to calculate the equation of the least-squares linear regression line to predict a subject's range of ankle motion while wearing medical shoes, ?̂ , based on their range of ankle motion while barefoot, ? . Round your coefficients to two decimal places of precision. ?̂ = A physical therapist determines that her patient Jan has a range of ankle motion of 7.26°7.26° while barefoot. Predict Jan's range of ankle motion while wearing medical shoes, ?̂ . Round your answer to two decimal places. ?̂ = Suppose Jan's…
Please answer 1 and 2
Four points have these coordinates: 3 4 4 4 3 y Use the least-squares line to predict the value of ywhen x= 3.5. اختر احدى الدجابات 0.6 O 5.5 О 35 3.4

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