A statistics student is asked to estimate y = β0 + β1x + ε. She calculates the following values:Σxi= 220, Σ(xi− x¯)2 = 440, Σ(xi− x¯)(yi− y¯) = −568 , Σyi=385, Σ(yi− y¯)2 = 1,120, n = 11. The value of the slope b1 is ____. A statistics student is asked to estimate y = 60 +61x + ε. She calculates the following values:= − 568, Σyi = 385, Σ(y; — y)² = 1,120, n = 11. The value of the slope b₁ is.Σæi = 220, Σ(ci· x)² =.x) (y₁ - y)Multiple ChoiceC--1.29-0.510.511.29= 440, Σ (xi

A statistics student is asked to estimate y = 60+8₁x + ε. She calculates the following values: Σæi = 220, Σ(x; – €)" = 440, Σ (x; - z) (y; – 3) = -568, Eyi = 385, Σ(y₁ - y)² =1,120, n = 11. The value of the slope b₁ is Multiple Choice O O -1.29 -0.51 0.51

A statistics student is asked to estimate y = 60+8₁x + ε. She calculates the following values: Σæi = 220, Σ(x; – €)" = 440, Σ (x; - z) (y; – 3) = -568, Eyi = 385, Σ(y₁ - y)² =1,120, n = 11. The value of the slope b₁ is Multiple Choice O O -1.29 -0.51 0.51

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The number of banks in a country has been dropping steadily since 1984, and the trend in recent years has been roughly linear. The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 1990 and y the number of banks, in thousands. n=10 Ex-235 ²-5605 Ey-77.564 Ey²=603.80424 Exy-1810.155 a. Find an equation for the least squares line. b. Use your result from part a to predict the number of banks in the year 2020. c. If this trend continues linearly, in what year will the number of banks drop below 6200? d. Find and interpret the correlation coefficient.
L5Q3.
NOT ANSWER B
Use the fact that for points (a1, b1) and (a2, b2) in the coordinate plane, we can calculate the slope of the line through these points using the following formula. Slope = Δy Δx = b2 − b1 a2 − a1 Find the slope of the line through the points (8, 8) and (10, 1).
Using the weights (lb) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9-0.00749x, where x represents weight. Complete parts (a) through (d). Click the icon to view the car data. The site to your captio V.UVITU. D. The slope is -0.00749 and the y-intercept is 58.9. c. What is the predictor variable? ... OA. The predictor variable is highway fuel consumption, which is represented by x. OB. The predictor variable is highway fuel consumption, which is represented by y. C. The predictor variable is weight, which is represented by x. OD. The predictor variable is weight, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2994 lb? The best predicted value of highway fuel consumption of a car that weighs 2994 lb is (Round to one decimal place as needed.) mi/gal.
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: y=a+bx b=-0.997 a=20.107 r2=0.950625 r=-0.975 Use this to predict the number of situps a person who watches 0.5 hours of TV can do.Round to one decimal place.
Let f(x)f(x) be the height of a maple tree in inches and xx the number of years since 2000. A linear model for the data is f(x)=9.44x+84.182f(x)=9.44x+84.182.A) To the nearest inch, estimate the height of the maple tree in 2011. __?__ inchesB) Use the equation to find the year in which the tree will be 235 inches tall. __?__
Let f(x) be the height of a maple tree in inches and the number of years since 2000. A linear model for the data is f(x) = 9.44x + 84.182. 220 210- 200 190 180 170 160 150- 140- 130- 120 110 100 -90- ge 70- -60 -50+ 3 Ő 9 12 A) To the nearest inch, estimate the height of the maple tree in 2013. inches B) Use the equation to find the year in which the tree will be 250 inches tall.
Let �(�) be the height of a maple tree in inches and � the number of years since 2000. A linear model for the data is �(�)=9.44�+84.182.36912155060708090100110120130140150160170180190200210220A) To the nearest inch, estimate the height of the maple tree in 2012. inchesB) Use the equation to find the year in which the tree will be 249 inches tall.
Jane collects data from 40 elementary school students and finds that the relationship between age (x) and score on a certain test (y) is given by y=3.2x+45. What can she extrapolate about the score a 16-year old will get on the test?
The following equation describes the relationship between output and labor input at a sample of work stations in a manufacturing plant ŷ = 2.35+2.20X. Suppose, for a selected workstation, the labor input is 5, the predicted output is?