a) The time, X minutes, taken by a company to install a satellite dish may also beassumed to be a normal variable, but with the following conditions:Р(x <170)- 0.14P(X <and P(x > 200) = 0.03Determine z, for P(X <170)= 0.14 and z,P(X > 200) = 0.03i.i.Write two equations based on information in i.iI.Find the values for the mean and standard deviation of X by solving the twoequations simultaneously.

X : Amount of time taken by a company to install a satellite dish (in minutes) Let us assume, X has…

Answered: The time, X minutes, taken by a company…

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 equation used to predict annual cauliflower yield (in pounds per acre) is y =24,231 + 4.417x, - 4.677x,, where x, is the number of acres planted and x, is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x, = 36,100, X2 = 36,500 (b) x, = 37,800, X2 = 38,100 (c) X4 = 38,800, X2 = 39,000 (d) x, = 42,100, X2 = 42,200 %3D %3D (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.)
The line of best fit through a set of data isy=59.355−3.526xy=59.355-3.526xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 80?y = Round to 1 decimal place.
Please solve by hand! A manufacturer of wood stoves collected data on y = particulate matter concentration and x1 = flue tem-perature for three different air intake settings (low, me-dium, and high).a. Write a model equation that includes indicator vari-ables to incorporate intake setting, and interpret each of the b coefficients. b. What additional predictors would be needed to in-corporate interaction between temperature and in-take setting?
Dr. Cosentino released the information that the enrollment at Lander University grows linearly over time. The initial enrollment was 1257, and this number had grown to 1917 after 3 years.(a) Write down an equation giving the enrollment, y in terms of the number of years since the school opened, x .y = (b) How long will it take for the enrollment to reach 4029 students? Round your answer to two decimal places.
If the linear equation between Height and Gestational Age is given as: Height=a + b Gest x What is the value of a from the output above What is the value of b from the output above
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−50.8+0.3x1+5.1x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=−51.9+0.3x1+4.9x2, where x1 is the tree's height (in feet) and x2 is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables.
Civil engineers often use the straight-line equation, y = bo+b ₁x, to model the relationship between the shear strength y of masonry joints and precompression stress, x. To test this theory, a series of stress tests were performed on solid bricks arranged in triplets and joined with mortar. The precompression stress was varied for each triplet and the ultimate shear load just before failure (called the shear strength) was recorded. The stress results for n = 7 resulted in a Coefficient of Determination of 0.7589. Given that r 2_ 0.7589, give a practical interpretation of r2, the coefficient of determination for the least squares model. In repeated sampling, approximately 75.89% of all similarly constructed regression lines will accurately predict shear strength. We expect about 75.89% of the observed shear strength values to lie on the least squares line. We expect to predict the shear strength of a triplet test to within about 0.7589 tons of its true value. About 75.89% of the total…
Given that the systolic blood pressure in the right arm is 90 mm Hg, the best systolic blood pressure in the left arm is how many mm Hg?
Please all the 3 of these sub-questions. Make sure answer is rounded up to 4 decimals
Suppose the equation of the regression line for the number of emails a person recieves at a particular sales company is given by y=9+19⋅x. Where y is based on the number of accounts the person has, x. If a person has 15 accounts, find the number of emails they will recieve. Number of emails:
It has been hypothesized that overall academic success for first-year college students as measured by grade point average (GPA) is a function of IQ scores = X1, and hours spent studying each week = X2. Suppose the regression equation is: Y = -5.7 + 0.02X1 +0.5X2 1) What is the predicted GPA for a student with an IQ of 100 and 40 hours spent studying per week? 2)Will the independent variables be endogenous? State what it means by endogenous, and explain why that will be the case. 3) If you have a choice to change the variables or add/drop variables, what would be your set of independent variables, and explain why you chose those variables.

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