Round to the nearest thousandth.y =Xyy =21820 1061Use exponential regression to find an exponential function that best fits this data.y=341373 1849Use linear regression to find a linear function that best fits this data.562563 3318Use power regression to find an power function that best fits this data.Submit QuestionTHINK ABOUT IT: which equation best fits the data?

The data shows the two variables with x and y variables.

Answered: у" X y y = 1 820 Use exponential…

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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x 1 2 3 4 5 6 y 607 666 641 709 668 695 Use exponential regression to find an exponential function that best fits this data. y= Use linear regression to find a linear function that best fits this data.y = Use power regression to find a power function that best fits this data.y =
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Tue M Preview File Edit View Go Tools Window Help O IMG 2729 ing. A O. IMG 2724.jpg ® Q Q Û e- O @ Qr Search O- Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Find the regression equation, letting chirps in 1 minute be the independent (x) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Chirps in 1 min 1050 1205 832 770 1242 946 1056 1110 O Temperature (°F) 79.4 93.4 69.8 70.1 93.6 80.5 83.5 89.1 Liste daud Iste sam Use betw The regression equation is y = +(x. (Round the y-intercept to one decimal place as needed. Round the slope to four decimal places as needed.) minu In th The best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, based on the regression equation, is 1°F. (Typ (Round to the nearest integer as needed.) Iden 1- What is wrong with this predicted temperature?…
In a regression analysis if SSE = 64 and SSR = 364, then what is the coefficient of determination? (please keep 2 decimal places)
1) Height of Golf Ball Determine the rate of change in the table and identify whether this data is linear, exponential or quadratic. Time (s) Height (ft) 4 1 68 2 100 100 4 68
Give an equation for a linear regression model for these data to predict the weight from the fuel capacity, Identify the vanables in your equation. • Justify how well your linear equation fits the model by discussing a scatter plot of the date and the correlation coetlicient in assessing the fit of your linear model. • Use your model to predict the total weight of a small motorcycle that has a tuel capacity of 6 gallons. and discuss the usefulness of this prediction.
The income of farmers depends on various factors. To predict the income of the next year, a study was undertaken and data was gathered considering as many as possible factors that might influence the yearly income. Regression methods are used to create such a prediction function, that is, we want to predict the profit for the next year. The following were determined. X₁ = SIZE - farm size recorded × 1000 hectares X₂ AGE - how long the farm has been in operation in years X3 = RATIO - the ratio of land size to field size recorded as 0.5, 0.75, 0.8 and 0.9 X4 = METHOD - rotational and non rotational method of planting Ŷ INCOME the income per year recorded in × R 1 000 000.00 The partial dataset is as follows INCOME Y 1.3 2.4 3.2 1.5 2.1 a. C. Standardized Residual Sample Quantiles 15 1.0- 0.8- 0.6- 0.4- 0.2- 0.0- 20 SIZE X₁ 25 5 8 2 1.2 1.5 Predicted Theoretical Quantiles. 45 AGE X₂ 1.1. The analyst did some exploratory analysis and below are some of the residual plots he constructed.…

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