Problem 3The pollster assisting a candidate for political office has gathered recent week-by-week data relating thecandidate's percentage approval rating by voters, y to the number of minutes that the candidate has been onTV (during the given week), x. The pollster believes that y is related to x by the relationship y = B. + B1x.The data collected by the pollster are listed below.Minutes on TVPercent approval rating20433785306033100251543Part aUse linear least-squares regression to estimate the values of B, and B1. Part bRefer to Problem 3. Compute a 90% confidence interval for the value of the parameter B1. Given thisconfidence interval, is there a clear recommendation that the pollster should make to the political candidateregarding how much time to try to appear on TV?

Givendata collected by pollster To calculate the linear regression equation following calculations…

Answered: Problem 3 The pollster assisting a…

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 table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X 11.3 y 13.3 10.9 9.9 8.4 6.8 3.9 2.8 2.4 2.5 7 6.7 6.4 6.3 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation ŷ = 0.79x + 4.32. Use this equation to answer the following. Answer = 12.829 0.9 5 A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = 6.123 x Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? x Round to 3 decimal places.
Mrs. Pearce conducted a survey in her class on the ages of famous people. The table below shows the results of her survey. Guess Actual Age 18 25 28 39 50 36 72 Which equations could best represent the line-of-best-fit for the given data set? F. G. 15 28 24 42 56 45 80 y = 1.19x - 4.3 H. J. y = 0.81x + 4.56 y = -1.19x +4.3 y = -0.81x - 4.56 DRAN
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1. Describe in detail what the H0 and H1 are. 2. If this data were to be on a scatterplot, which variable would be x and which would be y? explain why.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.4 6.8 3.4 2.5 2.6 2.6 0.9 13.5 10.9 9.8 6.7 6.3 6.4 4.5 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 0.83x + 3.99. 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 8.4 thousand automatic weapons? Answer Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer Round to 3 decimal places.
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Suppose a researcher collects data on the air pollution levels, measured in milligrams per cubic meter, for both urban and rural areas in 35 states. The data is plotted with urban air pollution levels on the horizontal axis and rural air pollution levels on the vertical axis. Nevada is an outlier in the ?x‑direction. What must be true about this state? The urban air pollution levels for this state are much higher or lower than the rest of the states in the data set. The rural air pollution levels for this state are much higher or much lower than the rest of the states in the data set. This state is an influential observation. The rural air pollution levels for this state are much higher or lower than other states in the data set that have similar urban air pollution levels. The absolute value of the residual of this state is large.
Please anwser using SPSS!
In a data set with 25 scores, if the value 16 occurs 12 times, what is its relative frequency?
Beanie babies are toy stuffed animals that have become valuable collector’s items. Beanie World Magazine provided the age, retired status (R for Retired and C for Current), and value of 50 Beanie babies. The data Beanie can be downloaded from Blackboard. Answer the following questions using Minitab. a) Show the retired/current status of the 50 Beanie babies with pie chart and bar chart. b) What percentage of the age measurements actually fall into ¯x±s, ¯x±2s, and ¯x±3s. Compare your result with the empirical rule
If the data are modified through the equation : Y = 0.5X - 20 , if the mean of the data after modification equal 56 , then the mean before modification is

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