the relationship between variables is LINEAR, STRONG AND POSITIVE
.......................
NORMALITY plot shows that data is normally disrtributed
................
fitted plot shows the random nature
AGE is good predictor of time
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histogram is showing a outlier
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thanks
Scatterplot of PracticeTime vs Age 35 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5...
Below are given (a) A scatterplot of Y versus X and (b) A plot
of residuals versus fitted values after a simple linear regression
model was fit to the data. What is the equation of the fitted line?
Discuss what is indicated about the relationship between Y and X as
it relates to simple linear regression.
Fitted Line Plot Y = - 14.64 + 7.431 X R-Sq R-Sq (adj) 2.43700 91.9% 91.8% 1 > 20- 3 4 5 6 7...
textbook cost is one
expense that university students often complain about is the size
of the book( measured by the number of pages) related to the price
of the book( in dollars)
output and the graph
has been posted in the picture.
Q-1 based on the
scatterplot, what can you say about the relationship between pages
and price?
Q-2 state the
regression equation relating predicted price and pages
Q-3 use the regression
equation to find the predicted price y for...
1. A sample of 33 companies was randomly
selected and data collected on the average annual
bonus ($), turnover rate (%), and trust index (measured on a
scale of 0 — 100). The regression
equation is TurnoverRate = 12.1005 -0.07149TrustIndex
-0.0007216AverageBonus. The correct
interpretation for the coefficient of Averager Bonus is
A) After accounting for Trust Index, an increase of $10,000 in
annual bonus is associated with a
decrease of 7.216% in turnover rate.
B) After accounting for Trust Index,...
Moissanite is a popular abrasive material because of its extreme hardness. Another important property of moissanite is elasticity. The elastic properties of the material were investigated in the Journal of Applied Physics (Sept. 1993). A diamond anvil cell was used to compress a mixture of moissanite, sodium chloride, and gold in a ratio of 33:99:1 by volume. The compressed volume, y, of the mixture (relative to the zero-pressure volume) was measured at each of 11 different pressures (GPa). The results...
Q1 (30 points) Consider Problem 11.45, Page 637. Please note that for this problem the data will be entered in R as follows: #Enter data on x = Dose Level of Drug, and y = Potency of Drug (Problem 11.45, page 637) x<-c(2, 2, 2, 4, 4, 8, 8, 16, 16, 16, 32, 32, 64, 64, 64) y<-c(5, 7, 3, 10, 14, 15, 17, 20, 21, 19, 23, 29, 28, 31, 30) For this problem, answer the following questions. In...
The first photo is the data I
had collected in Minitab.I am confused on what the b1= to then get
the degree of freedom. I need this information to answer question
16 to plug in the right information in minitab to get t*multiplier.
Overall need help with getting the answer to #16 so then I can
continue the rest of the problems. Thanks! (also for 17 what is
S.E.)
Regression: icu versus age Simple Analysis of Variance Source DF Adj...
Question 3: The Table below summarises the results of traffic monitoring observations at a motorway, in terms of average spacing between vehicles versus vehicle speed. cinema9.58 14.04 19,36 22.68 27 31.32 35.64 39.96 4.28 46 52.9257.2461.5665.88 68.270 Space (m) 11.5 15.3 18.8 19.7 22.5 25.4 27.7 32.2 33.8 42 54.5 60.575.1 77.3 81 100.5 (a) The Figure below shows part of the Minitab output for a linear regression analysis for average spacing against speed. Explain the analysis in the table,...
25-28) A sample of 30 companies was randomly selected for a study investigating what factors affect the size of company bonuses. Data were collected on the number of employees at the company and whether or not the employees were unionized(1=yes,0=no). Below are the multiple regression results. What does the scatterplot below suggest about developing a multiple regression model to predict Company Bonuses using Employees and Union as independent variables? DependentVariableisAverageAnnualBonus Predictor Coef SE Coef T P Constant 347.9 872.2 0.40...
Two freshman algebra classes were studied, one of which used laptop computers at school and at home, while the other class did not. In each class, students were given a survey at the beginning and end of the semester, measuring his or her technological level. The scores were recorded for the end of semester survey (x) and the final examination (y) for the laptop group. The data and the MINITAB printout are shown here. Student Posttest Final Exam Student Posttest ...
Question 2 (15 marks in total] University students are expected to attend all classes within a course. But university administrators and teaching staff are aware that student attendance can be adversely impacted by a variety of factors including travel time. Also, when attendance rates drop, there are often concerns expressed that it is students most at risk of performing poorly who are not attending class. To better understand some of these issues, a sample of undergraduate students was drawn from...