QUESTION 1 Mr Stat was hired to do some research for the local potion master. He ran a Minitab analysis and found the regression equation for the age increase in years based on the quantity in milliliters, of Ageing Potion one consumed. Age Increase = 0.045*Quantity a) What is the explanatory variable? Quantity b) What is the response variable? Age Increase Suppose the quantities in the st anged from 150ml to 740ml. If unable to predict, answer with n/a. c) How many years would someone's age increase if they drank 200ml? f they drank 100ml? n/a

QUESTION 1 Mr Stat was hired to do some research for the local potion master. He ran a Minitab analysis and found the regression equation for the age increase in years based on the quantity in milliliters, of Ageing Potion one consumed. Age Increase = 0.045*Quantity a) What is the explanatory variable? Quantity b) What is the response variable? Age Increase Suppose the quantities in the st anged from 150ml to 740ml. If unable to predict, answer with n/a. c) How many years would someone's age increase if they drank 200ml? f they drank 100ml? n/a

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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Table 8: Regression of Weight Loss on Hours of Exercise and Caloric Intalk Variable se b 95% CI Hours of Exercise 0.27 0.11 0.05, 0.49 Caloric Intake -0.002 .0008 -0.0035, -0.0004 Intercept 8.50 0.73 7.05, 9.95 Note: R? = .35, adj. R? = .35, F = 22.18, df = 2,117; n = 120 %3D swer the following questions about this regression analysis. Which predictors of weight loss are statistically significant, if either? What is the predicted weight loss for someone who consumes 2,000 calori hour per day on average? What is the literal interpretation for the slope of hours of aerobic exercise
Question 2 A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: y=ax+b a=6.992 b=38.9 > r²=0.779689 r=0.883 Use this to predict the final exam score of a student who studies 4 hours per week, and please round your answer to a whole number.
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QUESTION 4 Based on the regression equation, we can measure the pearson correlation coefficient predict the value of the dependent variable given a value of the independent variable measure the association between two variables predict the value of the independent variable given a value of the dependent variable.
QUESTION 5 Suppose you wish to see if there is a relationship between the price (units=$1000) and the rating (units-10 points) of laptop computers tested by Consumer Reports. A regression analysis on 14 computers revealed Ex₁ = 18.20, Ex² = 26.76, Eyi = 111.30, Ey2 = 894.19, and Exiyi = 149.60. What is the interpretation of B₁? Oa. None of the answers is correct b. For an increase of $1000 in price, the mean Consumer Report rating increases by 15.8387 points. OC. For an increase of 10 points in the Consumer Report rating, the mean price of a laptop increases by $158.3871. Od. For an increase of $1000 in price, the mean Consumer Report rating increases by 1.5839 points. Oe. For an increase of 10 points in the Consumer Report rating, the mean price of a laptop increases by $524.8530. QUESTION C ck Save and Submit to save and submit. Click Save All Answers to save all answers. F1 F2 20 F3 $ 000 000 F4 % S F5 MacBook Pro A 6 F6 & F7 DII * FB ∞
Question 8 please
QUESTION 20 A treatment for anxiety is found to demonstrate a consistent reduction of anxiety sympotms by 2 points on a 50- point anxiety symptoms scale. Although patients overall do not report feeling much difference, the experiemnter finds that the change in symptoms on the anxiety symptoms scale results in a p-value of less than .05. This is an example of A statitically significant effect that does not have clinical/practical significance A clinically significant change which is supported by a statistically significant effect A correlational research design A placebo effect
Question 2 Classify the data as quantitative or qualitative? a) weights(in pounds) in a Gym class? b) Feedback( on the scale from not satisfied, very satisfied ) survey c) Prices in the restaurant menu?
Interpret the coefficient estimate on Married in column 2, commenting on both magnitude and statistical significance
QUESTION 3 A study is done to find out whether there is a relationship between a woman's age and the amount of money she has saved (in RM'000). A random sample of data was collected from fifteen women in a residential area. The woman's age ranges from twenty-five to fifty-nine. Below are the results using MS Excel : Table 2 Regression Statistics Multiple R R Square 0.986 R2 Adjusted R Square 0.969 Standard Error 1.098 Observations 15 Table 3 Standard Coefficients Error t Stat P-value Intercept -4.488 1.123 -3.996 0.002 Variable 1 0.580 0.028 0.000 20.999 a. State the independent and dependent variables. b. Interpret the value of the correlation coefficient obtained in Table 2. С. Compute the coefficient of detemination and explain its meaning. Determine the regression equation of amount of money saved on woman's age. е. Comment on the value of the coefficient, b, in the regression equation in (d). f. Predict the amount of money saved for a woman whose age is i. 39 ii. Is the prediction…