Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.9 cm. How does the result compare to the actual circumference of 6.0 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball O 4.3 21.7 13.5 68.2 Diameter 7.4 23.6 7.1 3.9 21.5 Circumference 23.2 74.1 22.3 12.3 67.5

Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.9 cm. How does the result compare to the actual circumference of 6.0 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball O 4.3 21.7 13.5 68.2 Diameter 7.4 23.6 7.1 3.9 21.5 Circumference 23.2 74.1 22.3 12.3 67.5

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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QQQ3. Diamond PricesWeight 0.3 0.4 0.5 0.5 1.0 0.7Price 510 1151 1343 1410 5669 2277Find the best predicted price for this diamond with a weight of 1.50 carats. Is the result close tothe actual price of $16,097? What is wrong with predicting the price of a 1.50-carat diamond? Between the two variables.d) Find the regression equation,e) Letting the first variable be the predictor (x) variable, find the indicated predicted value.
Find the regression equation, lotting the diameler be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.3 cm. How does the result compare to the achual circumference of 4.1 cm? Use a significance level of 0.05 Baseball Basketball Golf Soccer Tennis Ping Pong Volleyball 7.3 Diameter Circumference 23.5 4.4 21.9 7.1 3.9 21.4 22.9 73.8 13.8 68.8 22.3 12.3 67.2 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = x (Round to five decimal places as needed.)
DIRECTIONS: Round all answers to the nearest thousandth. Two new drugs are being compared for effectiveness in lowering total cholesterol levels. On the sample of 15 subjects, drug A is found to lower total cholesterol by an average of 75 mg/dl with SS = 2025. On the sample of 10 subjects, drug B lowered the mean cholesterol level by 78 mg/dl with SS = 2005. Use a 0.01 level of significance to test the claim that the two drugs are equally effective assuming populations are normally distributed. ( Use equal variance t procedure called pooled variance t procedure)
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The best predicted circumference for a diameter 1.2 cm is?
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.1 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 8.1 7.6 8.9 7.7 8.6 9.8 Weight (kg) 156 166 213 138 197 251 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y = (Round to one decimal place as needed.)
Test for a significance of the positive slope. Use =0.05. State your decision and conclusion. a. Fail to reject Ho. No evidence for a positive slope. b. Fail to reject Ho. There is evidence for a positive slope. c. Reject Ho. No evidence for a positive slope. d. Reject Ho. There is evidence for a positive slope.
Need help answering A, B and C. B) Perform the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning units sold) and X (outside temperature in degrees Fahrenheit. Calculate: Coefficient of determination (r2) and the coefficient of correlation (r).  SST, SSE and SSR for this linear regression.  Estimate for the variance (σ2) and the standard deviation for the linear regression model you have developed. C) Using the linear regression equation that you developed in topic (b), calculate the estimated sales for a day that will reach 72 degrees F and for a day that will reach 94 F and for both temperature levels calculate the error “e” when comparing the estimated value against the actual data provided. At which of the two temperatures, is your model more accurate? Justify.
Section 10.2 Question #12 Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marblewith a diameter of 1.2 cm. How does the result compare to the actual circumference of 3.8 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball Diameter 7.5 24.3 4.2 21.7 6.9 4.1 20.7 Circumference 23.6 76.3 13.2 68.2 21.7 12.9 65.0 View the critical values of the Pearson correlation coefficient r. Critical values of the pearson correlation coefficient r n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0, reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576…
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