A random sample of 42 earthquakes that have occurred between January 2015 and September 2017 was selected and for each earthquake the magnitude of the earthquake and the number of people killed wasrecorded. The data appear in the scatterplot below.40035030025020015010050038910-50-100-150Magnitude of Earthquake11Suppose we wanted to predict the number of people killed for a magnitude 10.0 earthquake. Using the regression line presented in question 4 to do this would be an example of which of the following?predicted number of people killed =-114 + 35.4(magnitude of the earthquake)OutlierResidualInfluential ObservationExtrapolationLurking variableNumber of People Killed-D

Answered: Image /qna-images/answer/64d19640-ffbd-41a7-b13e-8ff33893303c.jpg

Answered: Suppose we wanted to predict the number…

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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QUESTION 6 Wildlife researchers believe they can accurately predict an alligator's weight (lbs.) based on the animal's length (in.) as measured from a distance. The following linear equation represents the LS regression line: Weight = -393+7.9(Length) Suppose the researchers capture a 60 in. long alligator that weighs 75 pounds. What is the residual for this alligator? O a. - 7.5 pounds O b. 81.0 pounds OC. 15.0 pounds Od. - 6.0 pounds Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answe Multiple Author....pdf 9 Report.pdf 3 BLM.pdf xamine KiaCK LIVPS Matters own. ang now These are. 15 000 000 F4 F3 F5 F6 F7 F8 F9 $4 % & %24
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.
Section 10.2 Question #7 Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85mm Hg. Use a significance level of 0.05. Right Arm 103 102 96 79 79 Left Arm 174 167 147 143 145 View the critical values of the Pearson correlation coefficient r Data table Dialog content starts 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…
Given the following, determine the price of a Corolla that is six years old given the graph of the regression line.
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 ∞
Which of the following tools is not appropriate for studying the relationship between two numerica variables? Correlation coefficient Scatter plot Historam Regression
Question 8 please
We conduct a regression of size on hhinc, owner, hhsize1, hhsize2, and hhsize3. Wedo not include the constant. The regression output is reported in Table 3. Would youconclude that the home size increases with the household size? Interpret the signand magnitude of the estimated coefficients of hhsize1, hhsize2, and hhsize3
Question 4. Suppose that a random sample of 200 twenty-year-old men is selected from a population and that these men's height and weight are recorded. A regression of weight on height yields Weight = -99.41 +3.94 x Height, R² = 0.81, SER = 10.2 where Weight is measured in pounds, Height is measured in inches and SER stands for the standard error of the regression. (1) What is the regression's weight prediction for someone who is 70 in. tall? 65 in tall? 74 in. tall? (2) A man has a late growth spurt and grows 1.5 in. over the course of a year. What is the regression's prediction for the increase in this man's weight? (3) Suppose that instead of measuring weight and height in pounds and inches these vari- ables are measured in centimeters and kilograms. What are the regression estimates from this new centimeter-kilogram regression? (Give all results, estimated coefficients, R², and SER)
3. Regression analysis breaks scores on the DV into... (explain and give equations)

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Suppose we wanted to predict the number of people killed for a magnitude 10.0 earthquake. Using the regression line presented in question 4 to do this would be an example of which of the following? predicted number of people killed=-114 + 35.4(magnitude of the earthquake) O Outlier