Problem 4. Let the input x be the total seasonal depth of applied water in inches, and let the output ybe the average yield of alfalfa in tons per acre. The data given by the table below was compiled by the UCExperimental Station.I121824303642y5.275.686.25.7.218.208.71Compute the formula for the empirical regression line corresponding to this data. This is a problem inChapter 14 of the text.

From the information, given thatThe regression equation is obtained as follows: The value of intercept is,The value of slope is,Thus, the regression equation is,The regression equation is,

Answered: Problem 4. Let the input a be the total…

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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Question 2 The following table shows the mean weight in kilograms of members of a group of young children of various ages. Age (x years) 1.6 2.5 3.3 4.4 5.6 Weight ( y kg) 12 15 16 17 20 The relationship between the variables is modeled by the regression line with equation y=ax+by=ax+b
You are interesting in how rats' weights influence their running speed. For a group of 6 rats, you weigh them (in kg) and then time them in a race (in s). The data are given in the following table. Subject A B С OE D E Weight (kg) Time (s) 1.1 0.8 0.9 0.7 1.2 1.1 F Find the regression line that represents the relationship between your predictor variable (Weight) and your criterion variable (Time). SP or SSXY = [Select] SSX or SSXX= [Select] 110 90 70 80 100 SSY or SSYY = [Select] 85 The slope of the line (b) = [Select] The intercept of the line (a) = [Select] Find the standard error of the estimate for the regression above: [Select]
question d
Question 3 A. The information below shows the age and the number of sick days taken for 6 employees at a biscuit factory. Age(x) 18 26 39 48 53 58 Number of sick days(Y) 16 12 9 5 6 2 Table 3. Using the information above: i. Determine the product-moment coefficient (r) ii. Calculate the coefficient of determination and interpret your answer iii. Determine the equation of the regression line iv. Use the equation of the regression line to estimate the number of sick days that would be taken by an employee who is 47.
Parts A, C, and D. Can you put them all on one excel graph please. It should be one figure with three lines.
Question #8 Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 12 6 10 13 11 5 8 14 9 7 15 y 14.29 6.91 13.15 14.37 13.88 4.53 10.69 14.11 12.08 8.97 13.53 y= ________ + ________ x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. ( Grapghs are attached) Identify a characteristic of the data that is ignored by the regression line. A. There is no trend in the data. B. There is an influential point that strongly affects the graph of the regression line. C. The data has a pattern that is not a straight line. D. There is no characteristic of the data that is ignored by the regression line.

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