rou have a dummy variable and an interaction term in the same regression model, the coefficient estimate of the inriable allows for changes in theand the coefficient estimate of the interaction term allows for changes in tO Error term; slopeO Slope; interceptOSlope; error termO Intercept; slope

It is known that, The regression equation is given by, Y= a+bX Where a is intercept and b is slope.…

Answered: rou have a dummy variable and an…

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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Last ride Consider the roller coasters described inExercise 26 again. The regression analysis gives themodel Duration = 64.232 + 0.180 Drop.a) Explain what the slope of the line says about howlong a roller coaster ride may last and the height of thecoaster.b) A new roller coaster advertises an initial drop of200 feet. How long would you predict the rides last?c) Another coaster with a 150-foot initial drop advertisesa 2-minute ride. Is this longer or shorter than you’dexpect? By how much? What’s that called?
Use RStudio to fit a simple linear regression model to the data below. Please submit a copy of your code and any appropriate output (a photo/screenshot will be sufficient). 300? Is the fitted linear regression model What is the 95% prediction interval for xo = appropriate for this data, and which assumption appears to be violated if not? dataset <- data.frame ( с (294, 247, 267, 358, 423, 311, 450, 534, 438, 688, 630, 709, 627, 1021, 615, 700, 999, 1250, 1015, 850, 980, 1650, 1025, 1200, 1500), у 3 с (30, 32, 37, 44, 47, 49, 56, 62, 68, 80, 84, 88, 97, 97, 100, 106, 109, 112, 117, 128, 130, 135, 160, 180, 210) X = %3D
Independent variable data is listed in cells B2 through B100, and dependent variable data is in cells C2 through C100. Which spreadsheet function would calculate the slope of a linear regression model of this data? Group of answer choices =SLOPE(B2:B100,C2:C100) =SLOPE(C2:C100,B2:B100) =SLOPE(B2,C2) =SLOPE(C2,C100,B2,B100)
please interpret the model
Suppose a researcher wishes to find the relationship between X and Y. Question 1) The sample correlation between X and Y is: Question 2) What type of correlation is between X and Y Moderate negative correlation Week positive correlation Moderate positive correlation No correlation Question 3) To calculate the regression equation between X and Y, what is the stimate of the slope parameter? Question 4) To calculate the regression equation between X and Y, what is the estimate of the intercept parameter? Question 5) Which is the correct regression equation? Y = 11.8 + 1.05X Y = -11.8 + 1.05X X = -11.8 + 1.05Y Y = 1.05 - 11.8X Question 6) What is the fitted value of Y when X=31? Question 7) What is the coefficient of fetermination? 0.4132 0.9831 0.7558 0.5712 X 24 26 28 30 32 Y 15 13 20 16 24
Show the best fitted line on scatter diagram and Find the predicted value for each y using the exposure time and the equation obtained in part b (b. Find the equation of regression line between radiation doses on exposure time .usingleast square method)
the following regression table where the dependent variable is the demandfor massage services in one city in the United States. Specifically, the dependent variable is the number of customers per hour (Models 1 and 2) or per day (Models 3 and 4). a) Explain why the coefficient for Population/1,000 in Model 2 is very different from the one in Model 4?
Can a causal relationship be established between a variable y and a variable x by running the following regressions: i) y = f(x) and ii) x = f(y). Explain in less than 75 words.
Study conductes in patients with HIV. Primary outcome is CD4 coubt(measure stage of disease). Lower CD4=more advanced disease. Wqnt to find association between taking vitamins and supplements and CD4 count. Multiple regression analysis done relating CD4 to use of supplements (1=yes 0=no) and to duration of HIV in years. (# of yeara between diagnosis and study date) y=CD4 Count Y=501.41+12.67 supplements -30 23 duration of HIV. A. What is ezpected CD4 count for patients taking supplements who had HIv for 2.5 years? B. Expected CD4 count not takong supplements with HIv at study start date? C. Expected CD4 coubt for patients not taking supplements with HIV for 2.5 years? D. Uf compare 2 patients, 1 HIV for 5 years longer than other, whats expected difference in CD4 count?
A regression was done for 20 cities with the latitude (Latitude), a measurement of the distance of a location on the Earth from the equator in degrees and the average January temperatures (Temp) as the dependent variable measure in. The regression equation is a) The value of the slope is [Select ] [Select] TEMP=48.4 -0.31 x LATITUDE b) The predicted average January temperatures for the 20 cities for a latitude of 45 degrees is [Select] ✓. If in fact the [Select] average January temperature for a latitude of 45 degrees is 40° F , the residual is [Select] which is a(n) [Select] which means c) The coefficient of determination is R²: 66.2%. This value means [Select] The correlation r, is which means [Select] d) The y-intercept is [Select] the problem interprets to [Select] make sense in the context of the problem? [Select] Formulas: r = ±√R² Residual actual y - predicted y 0.7<|rl≤1 very strong 0.5

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