Answered: This table shows the systolic blood…

This table shows the systolic blood pressure of y, patients x years old. state the slope and interpret the meaning in the context of this problem.

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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The graph below shows the relationship between the amount of gasoline remaining in a 50 L tank and the distance driven. What does the y-intercept represent in this situation? (1 Gasõline Remaining vs Distance Driven y 60 50 40 30 20 10 200 400 600 800 x Nietance (km Fuel capacity of the gasoline tank. Total distance travelled during long trip. Total distance driven until the car is out of gas. Number of kilometers driven per liter of gasoline.
if SSx=10, Ssy=12, ""Ssxy""=9.8, what is the slope (b)?
Using the weights (lb) 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. The site to your captio V.UVITU. D. The slope is -0.00749 and the y-intercept is 58.9. c. What is the predictor variable? ... OA. The predictor variable is highway fuel consumption, which is represented by x. OB. The predictor variable is highway fuel consumption, which is represented by y. C. The predictor variable is weight, which is represented by x. OD. The predictor variable is weight, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2994 lb? The best predicted value of highway fuel consumption of a car that weighs 2994 lb is (Round to one decimal place as needed.) mi/gal.
The relationship of the x and yvariables is displayed in the scatter plot below: 3.5 3 > 2.5 1.5 1 100 200 300 400 500 From the above graph, (a) explain the type of relationship between x and yvariables. (b) give a real-life example to illustrate the relationship of x and y. (c) interpret the value of the slope, 4.23. 2.
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Given the following graph, calculate the slope and uncertainty in the slope. Pressure vs Volume P (Pa) 1 0.90cm (21.45cm, 18.40cm) 0.90cm х100 3 2.10cm (9.50cm, 6.40cm) 2.10cm 2. 6. 7. V (m) X10-1
If the regression line showing the effect of education on income has a slope of 1000. a) the variables are not related b) the Y intercept would be 1.00 c) every change in education increases income d) every year of education increases income by 1000
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Statistics professor wants to use the number of hours (x) a student studies for a statistics final exam to predict the final exam score (y). A regression model was fit based on data collected from a class during the previous semester, with the following results: (y hat): y = 35.0 + 3X What is the slope? a. Yb. 35.0c. 3d. X