TemperatureRating (F®)ModelPrice ($)Ranger 3-SeasonsRanger SpringRanger WinterRondane 3-SeasonsRondane SummerRondane Winter1224313384515254525319289389239149289359259229129Senja IceSenja SnowSenja ZeroSuper LightTight & Light199Use the least squares method to develop the estimated regression equation.d.Predict the price for a sleeping bag with a temperature rating (F®) of 20.

Given : X(Temperature rating ) Y(price ) 12 319 24 289 3 389 13 239 38 149 4…

Answered: Use the least squares method to develop…

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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Use the computer output to estimate the intercept β0 and the slope β1.The regression equation is Y⁢=26.0+3.74X. Predictor Coef SE Coef T P Constant 26.023 5.621 4.63 0.000 X 3.738 0.5630 6.64 0.000 Intercept β0: Slope β1:
Use the computer output to estimate the intercept B 0 and the slope B 1.The regression equation is Y=24.6+3.05X. Predictor Coef SE Coef T P Constant 24.636 5.321 4.63 0.000 X 3.052 0.4596 6.64 0.000 Intercept B : Slope B 1 :
Q: The dataset below provides data on sales in dollars and the number of radio and TV ads and newspaper ads promoting the concerts for a group of cities. Develop a multiple regression model using the number of radio and TV ads and newspaper ads as the explanatory variables and sales as the response variable. (Solve in Excel) a) Interpret the adjusted R2. Conduct an Overall Test for Significance. State the hypotheses and the P-value and interpret the results of the overall test for significance in context to this dataset. Conduct individual hypothesis tests for slopes. State the hypothesis and the P-values and interpret the results of each test in context to this dataset. Concert Sales Thousands of Thousands of Sales ($1000) Radio&TV ads Newspaper ads $1,119.00 0 40 $973.00 0 40 $875.00 25 25 $625.00 25 25 $910.00 30 30 $971.00 30 30 $931.00 35 35 $1,177.00 35 35 $882.00 40 25 $982.00 40 25 $1,628.00 45 45 $1,577.00 45 45 $1,044.00 50 50…
A high R2 is all that is needed to determine if a regression is a good model of a causal process. A. True B. False
Use the computer output to estimate the intercept β0 and the slope β1.The regression equation is Y⁢=825-3.12X. Predictor Coef SE Coef T P Constant 825.405 89.72 9.20 0.000 X -3.119 1.023 -3.05 0.006 Intercept β0: Slope β1: Click if you would like to Show Work for this question: Open Show Work
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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.3 8.5 y 13.4 7 3.6 2.6 2.2 2.6 0.8 11 10.2 7.4 6 5.7 6.3 4.9 * = thousands of automatic weapons y = murders per 100,000 residents Determine the regression equation in y = ax + b form and write it below. (Round to 2 decimal places) A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 9.9 thousand automatic weapons? Answer = Round to 3 decimal places.
2. Participants were kept awake for a certain number of hours before given a visuospatial task. Researchers measured how many correct responses each participant had. Results are shown below. Use alpha = .01. Number of Correct Hours Kept Awake (X) Responses (Y) 21 X = 10 SS, = 422 Y = 10 SS, = 690 2 4 19 %3D 6. 13 SPxy =-525 ху 5 20 S, =5.70 S, = 7.29 9. 11 10 9. 14 5 15 5 17 2 18 1 17 1 13 4 18 8 11 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. G. If someone was kept awake for 9 hours, what is the predicted number of correct responses?
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The table lists the average monthly cost to workers for family health insurance for various years. Year, x Average Monthly Cost to Workers for Family Health Insurance $298 a) Use a graphing calculator to fit a regression line to the data. b) Predict the average monthly cost to workers for family health insurance in 2020, and compare the value with $493.3, which is obtained using the points (1,340) and (4,386). c) Find the correlation coefficient for the regression line, and determine whether the line fits the data closely. 2009, 0 2010, 1 2011, 2 340 348 2012, 3 367 2013, 4 2014, 5 386 406 a) The linear equation of the regression line that best models the data is y =x+. (Round to the nearest hundredth as needed.) b) The average monthly cost to workers for family health insurance in 2020 is predicted to be $ (Round to the nearest cent as needed.) Compare the above obtained value with $493.3 This value is $ $493.3 c) The correlation coefficient is (Round to the nearest thousandth as…
Need help finishing the regression equation with the following: Y=Residents' Preference B=Size of sector budget, sector budget, and individual trust as Independent Variables. I'm using Jamovi software, but the need to create the equation with information above. Thanks,
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Use the least squares method to develop the estimated regression equation. d. Predict the price for a sleeping bag with a temperature rating (F") of 20. c.