Please answer b, c, d and e ASAP. Thank you! b. Does there appear to be any relationship between these two variables?There appears to be a - Select your answer - linear relationship between the two variables. The heavier helmets tend to be - Select your answer - expensive.c. Develop the estimated regression equation that could be used to predict the price given the weight (to 2 decimals). Enter negative values as negative numbers.Price+Weightd. Test for the significance of the relationship at the 0.05 level of significance.p-value corresponding to F test isp-value corresponding to t test onSelect your answer -₁ (coefficient of Weight) is - Select your answer -There - Select your answer - evidence of a significant relationship.e. Did the estimated regression equation provide a good fit? Explain. Hint: If ² is greater than 0.70, the estimated regression equation provides a good fit.a good fit.p²(to 3 decimals), the estimated regression equation - Select your answer - Automobile racing, high-performance driving schools, and driver education programs run by automobile clubs continue to grow in popularity. All these activities require the participant to wear a helmet that is certified by thSnell Memorial Foundation, a not-for-profit organization dedicated to research, education, testing, and development of helmet safety standards. Snell "SA" (Sports Application) rated professional helmets are designed for aracing and provide extreme impact resistance and high fire protection. One of the key factors in selecting a helmet is weight, since lower weight helmets tend to place less stress on the neck. The following data show theweight and price for 18 SA helmets (SoloRacer website).a. Choose the correct scatter diagram with weight as the independent variable.HelmetPyrotect Pro AirflowPyrotect Pro Airflow GraphicsRCi Full FaceRaceQuip RidgeLineHJC AR-10HJC SI-12HJC HX-10Impact Racing Super SportZamp FSA-1Zamp RZ-2Zamp RZ-2 FerrariZamp RZ-3 SportZamp RZ-3 Sport PaintedBell M2Bell M4Bell M4 ProG Force Pro Force 1G Force Pro Force 1 GrafxWeight (oz)646464645847495966585852526362546363Price ($)248270206204290691897339197296291475484376372567242280

Given data: Weight Price 64 248 64 270 64 206 64 204 58 290 47 691 49 897 59 339…

b. Does there appear to be any relationship between these two variables? There appears to be a - Select your answer linear relationship between the two variables. The heavier helmets tend to be - Select your answer - expensive. c. Develop the estimated regression equation that could be used to predict the price given the weight (to 2 decimals). Enter negative values as negative numbers. Price = Weight d. Test for the significance of the relationship at the 0.05 level of significance. p-value corresponding to F test is - Select your answer - p-value corresponding to t test on 3₁ (coefficient of Weight) is - Select your answer - There - Select your answer - evidence of a significant relationship. e. Did the estimated regression equation provide a good fit? Explain. Hint: If r² is greater than 0.70, the estimated regression equation provides a good fit. ² is (to 3 decimals), the estimated regression equation - Select your answer - ✓a good fit.

b. Does there appear to be any relationship between these two variables? There appears to be a - Select your answer linear relationship between the two variables. The heavier helmets tend to be - Select your answer - expensive. c. Develop the estimated regression equation that could be used to predict the price given the weight (to 2 decimals). Enter negative values as negative numbers. Price = Weight d. Test for the significance of the relationship at the 0.05 level of significance. p-value corresponding to F test is - Select your answer - p-value corresponding to t test on 3₁ (coefficient of Weight) is - Select your answer - There - Select your answer - evidence of a significant relationship. e. Did the estimated regression equation provide a good fit? Explain. Hint: If r² is greater than 0.70, the estimated regression equation provides a good fit. ² is (to 3 decimals), the estimated regression equation - Select your answer - ✓a good fit.

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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