Use the table and graphs below to answer the question that follows.1.8 4.2 10.4 21.9 48.1 91.7 217.811.6 15.5 18.2 21.5 25.6 28.0 32.3Correct GraphonyX0.92.0Incorrect GraphA teacher asked students to use their graphing calculators to find a regression curve that best describes the relation between xand y for the data in the table above. The graphs above were produced by two students. Which of the following best describesthe nature of the error made in the incorrect graph?The x- and y-values were mistakenly interchangedO Inappropriate viewing-window settings were selected.Nonlinear regression was used instead of least-squares linear regression.O The x-values were incorrectly rounded to the nearest integer.

Regression curve:a curve that best fits particular data according to some principle (as the…

Answered: Use the table and graphs below to…

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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You wonder whether talking to plants keeps them from dying. You conduct a study in which you talk to one group of five plants and do not talk to a second group of five plants. After two weeks, you record whether each plant has lived or died. This assessment of plant health is a(n) _____ dependent variable, which means that the data can be analyzed using a(n) _____ test. a. nominal; parametric b. interval; parametric c. interval; nonparametric d. nominal; nonparametric
For each of the following data sets: plot the data, determine the regression equation, and add the graph of the regression to the graph.
What are the odds in favor of drawing a face card from a standard deck of 52 playing cards? 10:3 13:3 3:13 3:10 auto proctoru.com is sharing your screen Stop sharing Hide
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.8 8.2 6.9 3.9 2.3 2.4 2.6 0.6 y 14.2 11.2 10.2 7.5 5.9 6.4 6 4.3 x = thousands of automatic weaponsy = murders per 100,000 residents This data can be modeled by the equation y=0.88x+3.95. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 7.2 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 1.6 thousand automatic weapons? Answer = Round to 3 decimal places.
Which of the following is the most appropriate equation to model the data? ŷ = –10.89x + 0.85 ŷ = –0.85x + 10.89 ŷ = 10.89(0.85)x ŷ = 0.85(10.89)x
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=60.71x+33.51y=60.71x+33.51and the r2=0.1764r2=0.1764.What is the correlation coefficient for this data set?r =
Use the given data to find the scatter plot, equation of the regression line, and prediction. 4) Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance 59 63 65 69 58 77 76 | 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 What function do you use to see the scatterplot on the calculator. Scatterplot from the calculator:
Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 1.5.
Which of the following situations could produce data sets or plots would have a regression line with a negative slope? Select all that apply. Select all that apply: The number of miles a ship has traveled as a function of the number of years since it was launched. The number of miles a ship travels each year as a function of the number of years since it was launched. the number of times a ship needs repairs as a function of the number of years since the ship was initially launched. the number of voyages a ship can make per year as a function of the length (in days) of each voyage.
Which of the following data sets or plots could have a regression line with a negative slope? Select all that apply. Select all that apply: the difference in the number of ships launched by competing ship builders as a function of the number of months since the start of last year the number of hawks sighted per day as a function of the number of days since the two-week study started the total number of ships launched by a ship builder as a function of the number of months since the start of last year the average number of hawks sighted per day in a series of studies as a function of the number of days since the ten-week study started
Please help me. Thankyou.

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