Part a. Use the area below to draw a scatter diagram.Part c.1000800600400e.200WeANOVABack0SUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservationsRegressionResidualTotalIntercept010R-Sq=R-Sq (adj) =20Chart Titledf0.877308360.769669973040Weight (oz)0.7543146394.975537917can concludecannot conclude●Series1The regression equation is (to 1 decimal)Price(pred) =+b. Does there appear to be any relationship between these two variables?There appears to be a(to 4 decimals)(to 4 decimals)(to 4 decimals)●1516 587440.9412Automobile racing, high-performance driving schools, and driver education programs run by automobile clubs continue to grow in popularity. All these activities require theparticipant to wear a helmet that is certified by the Snell Memorial Foundation, a not-for-profit organization dedicated to research, education, testing, and development of helmetsafety standards. Snell "SA" (Sports Application)-rated professional helmets are designed for auto racing and provide extreme impact resistance and high fire protection. One ofthe key factors in selecting a helmet is weight, since lower weight helmets tend to place less stress on the neck. The data in the Excel Online file below show the weight and pricefor 18 SA helmets. Construct a spreadsheet to answer the following questions.●50WeightSSMSSignificance F1 452135.6492 452135.6 50.1239429 3.74774E-06135305.292 9020.353c. Develop the estimated regression equation that can be used to predict the price given the weight. Also report the standard error of the estimate,R-sq, andR-sq adj.d. Test for the significance of the relationship at the .05 level of significance.P-value is(to 4 decimals).that the two variables are related.e. Did the estimated regression equation provide a good fit?R-sq is(to 4 decimals).The estimated regression equation provided aCoefficients Standard Errort Stat P-value Lower 95% Upper 95% Lower 95% Upper 95%2063.64585 238.7896118 8.642109 3.29E-07 1554.677839 2572.61385 1554.677839 2572.613854.056718472 -7.079826 3.7477E-06 -37.36755355 -20.0741721 -37.3675535 -20.07417264 -28.7208628fit.linear relationship between the two variables. The heavier helmets tend to be less expensive.ůThe estimated regression equation provided a60-goodbadb. Does there appear to be any relationship between these two variables?There appears to be ✓linear relationship between the two variables. The heavier helmets tend to be less expensive.c. Develop the estimat negative equation that can be used to predict the price given the weight. Also report the standard error of the estimate,R-sq, andpositiveR-sq adj.e. Did the estimated regression equation provide a good fit?R-sq is(to 4 decimals).The estimated regression equation providedFd. Test for the significance of the relationship at the .05 level of significance.P-value is(to 4 decimals).that the two variables are related.ession equation provide a good fit?4 decimals).70fit.#fit.USE THE SUMMARY OUTPUT TO ANSWER THE QUESTIONS

Part b: From the scatter plot, the variables weight and price are distributed in downward direction.…

Answered: b. Does there appear to be any…

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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A researcher wanted to predict the sodium content (in milligrams) of beef hot dogs by looking at the calorie content. His findings from a sample of 10 beef hot dogs are summarized below. The regression equation for his data is ŷ= -299.48 + 4.35 x Calories 186 181 176 149 184 190 158 139 175 148 Sodium 495 477 425 322 482 587 370 322 479 375 Interpret the slope in terms of this problem. If appropriate, find the sodium content if the calorie content is 170. If not, why? If appropriate, find the sodium content if the calorie content is 136. If not, why?
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 the Snell Memorial Foundation, a not-for-profit organization dedicated to research, education, testing, and development of helmet safety standards. Snel| "SA" (Sports Application) rated professional helmets are designed for auto racing 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 the weight and price for 18 SA helmets (SoloRacer website). Helmet Weight (oz) Price ($) Pyrotect Pro Airflow 64 241 Pyrotect Pro Airflow Graphics 64 276 RCi Full Face 64 202 RaceQuip RidgeLine 64 197 HJC AR-10 58 291 HJC Si-12 47 708 HJC HX-10 49 910 Impact Racing Super Sport 59 331 Zamp FSA-1 66 197 Zamp RZ-2 58 292 Zamp RZ-2…
A sports-equipment researcher was interested in the relationship between the speed of a golf club (in feet per second) and the distance a golf ball travels (in yards). Information was collected on several golfers and was used to obtain the regression equation ŷ = 2x - 106, where x represents the club speed and ŷ is the predicted distance. Which statement best describes the meaning of the slope of the regression line? For each increase in distance by 1 yard, the predicted club speed increases by 2 ft/sec. For each increase in distance by 1 yard, the predicted club speed decreases by 106 ft/sec. For each increase in club speed by 1 ft/sec, the predicted distance increases by 2 yards. For each increase in club speed by 1 ft/sec, the predicted distance decreases by 106 yards.
Refer to the data set: x -1 1 -2 3 0 2 y 9 2 15 1 4 1.5 Part a: Make a scatterplot and determine which type of model best fits the data.Part b: Find the regression equation, round decimals to one place.Part c: Use the equation from Part b to determine y when x = 5.
For the data in the table, find the regression equation. Here, x gives the number of calories in a hot dog, and y is the number of mg of sodium. Round the slope and y-intercept to two decima below. hen use your equation to answer the question Calories Sodium(mg) 100 311 110 304 120 308 130 337 140 320 160 341 170 375 180 353 190 362 200 372 Every extra 10 calories would be expected to add how many mg of sodium? Submit Question
For the relationship between Calories and Carbs, here is the equation of the line of best fit: Regression Equation: Calories = 2.36 + 4.432 Carbs What would you predict for the number of Calories if a cereal had 28 Carbs?
please quickly thanks !!!!
A business analyst found a linear relationship between the predicted profit (in thousands of dollars) with the amount of employees hired (think of the units as per person). The resulting regression equation and coefficient of determination were found to be: ŷ = 10 + 4.5x R² = 72% a) Interpret the slope and y-intercept using the guidelines learned in class. b) Find the predicted profit when the you hire 5 employees. c) Suppose that the true profit when 5 employees are hired is $42 thousand dollars. Find the residual. d) What is the correlation coefficient? Round to three decimal places. e) What is the strength of the correlation coefficient?
Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 1.5.
Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a) through (d). Click the icon to view the car data. 東 b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0.007499. B. The slope is -0.00749 and the y-intercept is 58.9. O C. The slope is 58.9 and the y-intercept is -0.00749. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. B. The predictor variable is weight, which is represented by x. O C. The predictor variable is weight, which is represented by y O D. The predictor variable is highway fuel consumption, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel…
Find the intercept (b0) for the regression equation for the following values. Round to 3 decimal places. Intercept xi yi 33 180 25 170 50 200 65 172 57 160 27 165

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