The following is a portion of a classic data set called the "pilot plot data" in Fitting Equations to Databy Daniel and Wood, published in 1971. The response y is the acid content of material produced bytitration, whereas the regressor x is the organic acid content produced by extraction and weighing.a. Find R2 and r.b. Construct a 95% confidence interval for B1.c. Construct a 90% confidence interval for Bo.Y7612362556610058758815970109374882138881644328

Given information: Y X 76 123 62 55 66 100 58 75 88 159 70 109 37 48 82 138 88…

Answered: The following is a portion of a classic…

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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3
A movie studio wishes to determine the relationship between the revenue generated from the streaming of comedies and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming (in millions of dollars) for each of the fifteen movies. The data are displayed in the Figure 1 scatter plot. (The 2nd picture contains the rest of the data as it would not fit in the first pic and it includes the question as well.)
8. For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r and SS, to compute SS standard error of estimate for the equation. and the residual Y 3 3 6. 9. 8 4 3 7 10 9.
Here are the scatter plots for two sets of bivariate data with the same response variable. The first compares the variables x & y. The second compares the variables w & y O O 00 00 + O Q Which explanatory variable has a stronger relationship with the response variable y? O The first variable (x) has a stronger relationship with the response variable y. O The second variable (w) has a stronger relationship with the response variable y.
It has been estimated that the 1991 G-car obtains a mean of 35 miles per gallon on the highway, and the company that manufactures the car claims that it exceeds the estimate in highway driving. To support its assertion, the company randomly selects 49 1991 G-cars and records the mileage obtained for each car over a driving course similar to that used to obtain the estimate. The following data resulted: x = 36.5 miles per gallon, s = 7 miles per gallon. %3D a. Find the observed significance level for testing Ho: u= 35 vs. Ha: u> 35. %3D b. For what value of significance level a, you will reject the null hypothesis.
For the following, use the data from the (#12, Section 12.2) (please see the attached file. a) Calculate the value of the sample correlation coefficient. Based on this value, how would you describe the nature of the relationship between the two variables? b) If the units of y were changed to g/L, would your answer to part a) change? c) For the regression model in #12a, what proportion of the observed variation in ammonium concentration can be attributed to the approximate linear relationship between transpiration and ammonium concentration?
For the following data: a. Find the regression equation for predicting Y from X. b. Calculate the Pearson correlation for these data. Use r2 and SS_Y to compute SSresidual and the standard error of estimate for the equation. Y 3 3 4 3 7 10 5 9.
Please answer these two short questions.
A movie studio wishes to determine the relationship between the revenue from the streaming rental of comedies and the revenue generated from the theatrical release of such comedies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming rentals (in millions of dollars) for each of the fifteen movies. The data are displayed in the Figure 1 scatter plot. Also given is the product of the theater revenue and the rental revenue for each of the fifteen movies. (These products, written in the column labelled "xy", may aid in calculations.) Theater Rental revenue, y revenue, x xy (in millions of (in millions of dollars) dollars) 61.7 9.7 598.49 15.1 1.7 25.67 45.3 6.3 285.39 28.1 12.1 340.01 49.1 16.1 790.51 xx 12.9 10.2 131.58 28.1 2.4 67.44 66.0 9.7 640.2 20.6 5.8 119.48 7.5 2.8 21 25.8 6.9 178.02 Theater revenue 36.2 12.8…
Given the following data set, let x be the explanatory variable and y be the response variable. x75 1 8812 y36102398 (a) If a least squares line was fitted to this data, what percentage of the variation in the y would be explained by the regression line? (Enter your answer as a percent.) ANSWER: % (b) Compute the correlation coefficient: r =
Use the following scenario for questions 1-4: Dr. Wiese wants to determine whether duration of pregnancy and type of opiate use among pregnant women predict developmental delays in their children. In a sample of 30 new mothers, Dr. Wiese measured the duration of their pregnancies (premature, mature, postmature) and the type of opiate that they used during pregnancy (oxycodone, heroin). All participants' babies were then rated on how closely they have met developmental milestones on a scale ranging from 1-10. 1. Identify one of the independent variables. How many levels does this variable have? 2. Identify the other independent variable. How many levels does this variable have? 3. This study is a .............x ...................factorial design.

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