X Y8846447Find the regression equation for predicting Y from X.ΣΧSSxΣΥΣΧΥSPUse the regression equation to find a predicted Y for each X.Y8846.4476.3.3.2.3.3.2.2.1.

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Answered: X Y 8 8 4 6 4 7 Find the regression…

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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Please solve and maintain 4 decimal places.
9.2.22-T Question Help The accompanying data are the length (in centimeters) and girths (in centimeters) of 12 harbor seals. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x=140 cm (b) x=172 cm (c) x=164 cm (d) x=158 cm
Detail all the steps involved in testing the hypothesis below for the linear regression model y = XB + e, where X = (50 x 6) for two cases. Ho: X3B3 + x4B4 = 0 На: x3B3 + x4B4 # 0
5.6 x 1 2 4 5 6 8 9 10 y 1 3 7 4 8 9 14 16 Use regression to find a cubic model for the given data set. Round the regression parameters to three decimal places. __________________________________________ Based on the model, what is the value of y when x is 14? ____________ Is this equation a rational equation?
96 %24 %23 It has been found that a student's grade on the final exam correlates to the number of topic videos that the student has skipped watching. Use the following regression equation to determine approximately what grade a student will receive if they skipped watching 4 topic videos. y-97.4-6.3x A Moving to another question will save this response. «» ONE 如罗习0v 5/12/2021 11:36 PM dy 米千1 insert VAA 144 Os ud & 3. 4. 5. 7. backspace -> ·B pause N alt alt ctrl USE YOUR SMARTPHON R SCAN
D. Only OLS assumption #2 is satisfied. The estimated regression is Y = 39+0.45X; Compute the estimated regression's prediction for the average score of students given 99, 129, or 155 minutes to complete the exam. Given 99 minutes, the estimated regression's prediction for the average score of students is Given 129 minutes, the estimated regression's prediction for the average score of students is Given 155 minutes, the estimated regression's prediction for the average score of students is (Round your responses to two decimal places.) Compute the estimated gain in score for a student who is given an additional 19 minutes on the exam. The estimated gain in score for a student who is given an additional 19 minutes on the exam is (Round your response to two decimal places.) Click to select your answer(s). W (DELL] o search PROU II
5. 50 29 47 33 1 46 28 42 20 3 58 21 1 42 22 The multiple linear regression equation of the table is shown below: ý = - 6.99 + 0.17x1 + 0.03r2 Use the equation to predict the value of y at ¤1 = 44.5 and x2 = 24.3 (Round to 2 decimal places)
An interaction term in a multiple regression model may be used when the coefficient of determination is small. there is a curvilinear relationship between the dependent and independent variables. neither one of 2 independent variables contribute significantly to the regression model. the relationship between X1 and Ychanges for differing values of X2.
Town A B C D E F GPopulation (lakh) (X ) 11 14 14 17 17 21 25No. of TV sets demanded ('000) (Y ) 15 27 27 30 34 38 46Fit a linear regression of Y on X and estimate the demand for TV sets for a city with apopulation of (a) 20 lakh and (b) 32 lakh.
P QUESTION 2 The value V of a piece of equipment between 1990 and 1995 is given in the table. Let t represent the year with t = 0 corresponding to 1990. Find the regression equation for the data in the table: Time, t 0 Value, V ($) 500 O y = 514.770(0.8x O y = -50x + 500 Oy=-x2 - 50x + 500 O y = 50x + 500 QUESTION 3 1 2 3 4 5 450 400 350 400 350 300 250 The table gives the average heights of children for ages 1-10, where x = the age (in years) and y = the height (in cm). 3 4 5 6 7 8 9 10 1 Age (years) Click Save and Submit to save and submit. Click Save All Answers to save all answers. 2 E; M 64 Save All Answer
15.1 #6 The accompanying data are x = advertising share and y = market share for a particular brand of soft drink during 10 randomly selected years. Calculate the equation of the estimated regression line. (Round your answers to four decimal places.) ŷ =____+(____)x Use it to obtain the predicted market share when the advertising share is 0.090. (Round your answer to three decimal places.) _______. Calculate a point estimate of ?e. (Round your answer to five decimal places.) se = _____. x 0.102 0.073 0.072 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.137 0.125 0.123 0.086 0.079 0.076 0.065 0.059 0.051 0.039

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X Y 8 8 4 6 4 7 Find the regression equation for predicting Y from X. Σχ SSx ΣΥ ΣΧΥ SP 6. 3. 3. 2. 2. 1.