Consider the accompanying data on plant growth after the application of different types of growth hormone.Hormone1234512 1822 14 21 18178 13613 18 2010 17 117 12 16 9(a) Carry out the F test at level a = 0.05.Calculate the test statistic. (Round your answer to two decimal places.)F =Use technology to find the P-value. (Round your answer to four decimal places.)P-value =

Answered: Consider the accompanying data on plant…

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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Predict the price sold at auction of a dresser made in 1865 (round to the nearest dollar.) If a pair of dressers differ by 30 years in the year of construction, by how much would we predict their prices at auction to differ (round to nearest dollar)?
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Suppose a new location opens in an area with a population of 144,000, an average income of$36,000, an average age of 27, and $2,000 spent on advertising in the previous month.a. Use your chosen regression to predict Gross Sales for the month at the new location. (I picked population)b. Suppose actual Gross Sales for the month were $420,624. Does this make sense,given your model and predicted value?12. Using your chosen regression model,a. Identify the slope and explain what it means, in the context of the model.b. Identify the initial value or y-intercept and explain what it means, in the context ofthe model.
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NEED ALL PARTS PLEASE A (continued): null or alternative and what are h0 & ha B. critical values and rejection region (rounded to three decimal places) C. Calculate d and sd D. Find standardized test statistics e. Reject or fail hypothesis
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = 2.68 Enter an integer or decimal number [more.. y 4 17.12 22.3 22.88 26.06 31.04 30.02 Submit Question 56789
Consider the computer output below. Fill in the missing information. Round your answers to two decimal places (e.g. 98.76). Test of mu = 100 vs not = 100 Variable N Mean StDev SE Mean 95% CI (Lower) 95% CI (Upper) 16 98.93 4.69 i i i (a) How many degrees of freedom are there on the t-statistic? i (b) What is your conclusion if a = 0.05? (c) What is your conclusion if the hypothesis is Ho : µ : 100 versus Hị :µ > 100?
Gerardo is investigating how long his phone's battery lasts (in hours) for various brightness levels (on a scale of 0-100). His data is displayed in the table and graph below. Hours 10+ 9 8 7 6 3 2 1 Brightness Level (x) 16 Hours (y) 10 20 30 37 31 6.7 5.8 5.2 Submit Question -1 What is the residual for the point (58,7.1)? hours Rejected Questions 40 50 Brightness Level 37 4 60 70 44 5.9 80 58 7.1 77 5.1 99 4.2 90 100 110 Math Statistics
Regression output appears below, with monthly housing cost (rent) as the dependent response variable. For a hypothetical person who needs 0 minutes to reach campus, and has 0 other people living in the same place, what would be the predicted value? Round to 3 decimal places. Intercept Distance People Coefficients Standard Error t Stat 1545.477 -23.874 -3.436 Your Answer: 170.295 9.742 8.225 P-value Lower 95% Upper 95% 1209.587 1881.367 -43.089 -4.660 -19.658 12.786 9.075 1.3614E-16 -2.451 0.01515133 -0.4180.67656223
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