MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
How can we make predictions using a fitted model in R?
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by stepSolved in 2 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Find the regression equation? XY 11 24 15 32 10 - 17 35 19 41 O A) j= 2,06+ 1,11x B) ý= 11,238 + 1,309x C) ŷ= 1,309 + 11,238x O D) ŷ= 1,309 + 11,238x O E) ý= 1,11 +2,06xarrow_forwardA highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized: y = Bo + B,x + e where y = traffic flow in vehicles per hour x = vehicle speed in miles per hour. The following data were collected during rush hour for six highways leading out of the city. Vehicle Speed (х) Traffic Flow (y) 1,257 35 1,331 40 1,228 30 1,333 45 1,348 50 1,126 25 In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation. ý = bo + b,x + bx? (a) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x. (Round b, to the nearest integer and b, to two decimal places and b, to three decimal places.) (b) Use a = 0.01 to test for a significant relationship. State the null and alternative hypotheses. O Ho: b, = b2 = o H: One or more of the parameters is not equal to zero. O Ho: bo = b, = b, = 0 H: One or more of the parameters is not equal to zero. O Hn: One…arrow_forwardConsider that we have a set of points: We would like to find the equation for the line that approximates these points (linear regression). y -1 1 1 3 2 9 Hint: Design your matrix such that y= b+ mx, y1 = 1b +mx1, y2= 1b + mx2, y3= 1b + mx3. You need to output this inform of equationarrow_forward
- q7-arrow_forwardplease give me the right answer for both of thesd problem by fallowing the format too pleasearrow_forwardA large university is planning to build a new parking garage on campus that will be paid for a larger student parking fee. The student newspaper wanted to determine what proportion of the students favor the new garage. They email a random sample of 100 students and find that 30 of them are in favor of the new garage. What is the parameter of interest in this study? The proportion of university students in favor of the new parking garage. The 30 students who are in favor of the new parking garage. All students enrolled in the university The random sample of 100 studentsarrow_forward
- Consider the model Y = ß0 + B₁X1 + ß₂X2 + B3X³ + B4X4 + €. If it is suggested to you that the two variables Z₁ = X₁ + X3 and Z2 = X₂ + X4 might be adequate to represent the data, what hypothesis, in the form C3 = 0, would you need to test? (Give the form of C.)arrow_forwardPlease solve d-e, first parts asked in diffirent question. Consider the one-variable regression model Yi = β0 + β1Xi + ui, and suppose it satisfies the least squares assumptions in Key Concept 4.3. Suppose Yi is measured with error, so the data are ?"i = Yi + wi, where wi is the measurement error, which is i.i.d. and independent of Yi. Consider the population regression ?"i = β0 + β1Xi + vi, where vi is the regression error, using the mismeasured dependent variable ?"i.a) Showthatvi =ui +wi.b) Show that the regression ?"i = β0 + β1Xi + vi satisfies the least squares assumptions in KeyConcept 4.3. (Assume that wi is independent of Yj and Xj for all values of i and j and has afinite fourth moment.)c) Are the OLS estimators consistent?d) Can confidence intervals be constructed in the usual way?e) Evaluate these statements: “Measurement error in the X’s is a serious problem.Measurement error in Y is not.”arrow_forwardAfter ingesting 15 mL of 95% alcohol, the blood alcohol level of a 75 kg adult male rises rapidly to a maximum level then gradually decreases over time. Measurements of the subject's blood alcohol level at time t (in minutes) since the maximum blood alcohol level was observed gave the following results: Time t (in minutes) Blood alcohol level, B (in mg/L) 10 25 60 70 90 150 160 130 70 60 40 20 a) Using least squares regression, determine an equation of the form B= Be-kt that best fits the relationship shown. You do not need to graph the data. (Note any transformations you have applied to your data: x→, y→, round the values that appear in your final equation to three significant figures, and use the correct variable names...not x and y.)| b) Using your equation from part a), estimate the time t at which the subject's blood alcohol level will be 90 mg/L? Round your answer to the nearest minute.arrow_forward
- 4) Conduct a hypothesis test on H0: slope = 0; Ha: slope positive or negative (your hypothesis from part 2). Using α = 0.05, is there a significant linear relationship between x and y (paste your output to support your answer)? What is the linear model (y = mx + b, fill in the numbers for m and b)? In the context of the problem, what is the interpretation of the slope, m? Select Stat menu option across the top and then select Regression -> Simple Linear Enter your x and y variables Under the hypothesis test section go to Ha slope and specify the direction of the relationship (< or >) Select Compute sodium protein 130 1015 2260 9140 14200 1180 1.5125 1210 2200 4210 5220 0290 2210 0140 2180 0280 0290 190 1180 0140 480 1220 1140 2190 1125 1200 10 3160 5240 5135 045 0280 0140 3170 375 3220 1250 1.5180 0170 1170…arrow_forwardGiven the equation of a regression line is y = 3x - 4, what is the best predicted value for y given x- 2? A) 1 B) 5 C) 2 D) 10arrow_forwardFind the best predicted value of y corresponding to the given value of x. 44) Six pairs of data yield r = 0.444 and the regression equation y = 5x + 2. Also, y = 18.3. What is the best predicted value of y for x = 5? A) 4.22 B) 18.3 C) 27 D) 93.5 44)arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman