66The point (215,98 is an outlier. How might the inclusion of this outlier affect the companys prediction of the stock price for upcoming months?A. The point (215,98) would cause an overestimation of the stock priceB. The point (215,98) would not affect the predicited stock priceC. The point (215,98) would cause an underestimation of the stock price D. The point (215,98) could overestimate or underestimate the predicted value The following graph shows the revenue and stock price for a company for a random sample of months. The company has chosen to fit the data with an exponential model with = 0.82.Stock Price460440420400380360340320280260240220200180160140r2 = 0.8212010080604020Revenue50100150200250300350400450500550The point (215,98) is an outlier.How might the inclusion of this outlier affect the company's prediction of the stock price for upcoming months?

Given that point (215,98) is an outlier Outlier point does not affect the predicted stock price.

How might the inclusion of this outlier affect the companys prediction of the stock price for upcoming months? A. The point (215,98) would cause an overestimation of the stock price B. The point (215,98) would not affect the predicited stock price C. The point (215,98) would cause an underestimation of the stock price D. The point (215,98) could overestimate or underestimate the predicted value

How might the inclusion of this outlier affect the companys prediction of the stock price for upcoming months? A. The point (215,98) would cause an overestimation of the stock price B. The point (215,98) would not affect the predicited stock price C. The point (215,98) would cause an underestimation of the stock price D. The point (215,98) could overestimate or underestimate the predicted value

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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Please label each part
1. The box and whisker plot shows the ages of people at a restaurant. 6 5 13 21 33 42 10 15 20 25 30 35 40 45 Part A: What percent of people are younger than 33 years old? Part B: The following data points are added to the data set. (6, 21, 45, 60). Which of the data points would be an outlier?
Find the 5 number summary for the data shown 3 18 24 26 28 38 55 63 65 67 5 number summary: 3 65 64 64 X, 21 IQR:|| The 1.5 x IQR rule states that values between and are likely not outliers.
PART D TO BE ANSWERED! Thank you!
The interquartile range is more susceptible to outliers in the data than is the range A. True B. False
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.
We are curious about the average number of Facebook friends that college students have. We take a simple random sample of 40 students and record the number of Facebook friends each student has. 1. Before we open the data set, what is our population, our sample, and our parameter of interest? 2. Using the graph, describe any significant features of the data set. What shape does it have? What is the range of the number of Facebook friends? Are there any outliers?
Choose a correct statement. Leverage means a gap between a data point that is unusual in OLS models. O Discrepancy means how far away an observation is from other observations. c. Cook's distance measures discrepancy. Influential outliers can be calculated by discrepancy X leverage. O Cook's distance measures discrepancy.
9 The table below shows the weights of 8 different bears at a zoo. Type of Bear Asiatic Black Bear Black Bear Brown Bear Panda Bear Polar Bear Sloth Bear Spectacled Bear Sun Bear Weight (pounds) 225 300 550 200 1,000 300 280 100 If the weight of the polar bear is removed, which statement is true? A The mean decreases more than the median because the polar bear is a high outlier. The mean decreases less than the median because the polar bear is a high outlier.
Explain why the value of x is 61