A)
While attempting to measure its risk exposure for the upcoming
year, an insurance company notices a trend between the age of a
customer and the number of claims per year. It appears that the
number of claims keep going up as customers age. If 10 customers
are sampled and the regression output is given below, what can we
conclude about the slope of age?
Question 11 options:
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B)
Cardiorespiratory fitness is widely recognized as a major
component of overall physical well-being. Direct measurement of
maximal oxygen uptake (VO2max) is the single best measure of such
fitness, but direct measurement is time-consuming and expensive. It
is therefore desirable to have a prediction equation for VO2max in
terms of easily obtained quantities. A sample is taken and
variables measured are age (years), time necessary to walk 1 mile
(mins), and heart rate at the end of the walk (bpm) in addition to
the VO2 max uptake. The following output is from a multiple
regression. Based on the F-test alone, what is the correct
conclusion about the regression slopes?
Question 12 options:
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11)
since p value is not significant option 5 is correct
Not enough evidence was found to conclude the slope differs significantly from 0.
12)
option 3 is correct
We did not find significant evidence to conclude that at least one slope differs from zero.
A) While attempting to measure its risk exposure for the upcoming year, an insurance company notices...
Cardiorespiratory fitness is widely recognized as a major
component of overall physical well-being. Direct measurement of
maximal oxygen uptake (VO2max) is the single best measure of such
fitness, but direct measurement is time-consuming and expensive. It
is therefore desirable to have a prediction equation for VO2max in
terms of easily obtained quantities. A sample is taken and
variables measured are age (years), time necessary to walk 1 mile
(mins), and heart rate at the end of the walk (bpm) in...
Suppose that for a typical FedEx package delivery, the cost of
the shipment is a function of the weight of the package measured in
ounces. You want to try to predict the cost of a typical shipment
given package dimensions. If 10 packages in a city are sampled and
the regression output is given below, what can we conclude about
the slope of weight?
Question 22 options:
1)
The slope is equal to 0.
2)
Since we are not given...
Question 11: Cardiorespiratory fitness is
widely recognized as a major component of overall physical
well-being. Direct measurement of maximal oxygen uptake (VO2max) is
the single best measure of such fitness, but direct measurement is
time-consuming and expensive. It is therefore desirable to have a
prediction equation for VO2max in terms of easily obtained
quantities. A sample is taken and variables measured are age
(years), time necessary to walk 1 mile (mins), and heart rate at
the end of the walk...
***PLEASE ANSWER ALL QUESTIONS*** Question 21 (1 point) While attempting to measure its risk exposure for the upcoming year, an insurance company notices a trend between the age of a customer and the number of claims per year. It appears that the number of claims keep going up as customers age. After performing a regression, they find that the relationship is (number of claims per year) = 2.579*(age) + 3.369. Interpret the slope. Question 21 options: 1) When number of...
Suppose that a researcher wants to predict the weight of female college athletes based on their height, percent body fat, and age. A sample is taken and the following regression table is produced. Based on the F-test alone, what is the correct conclusion about the regression slopes? Question 23 options: 1) All the regression slopes do not equal zero. 2) All the regression slopes are equal to zero. 3) At least one of the regression slopes does not equal zero....
Question 9 (1 point) You work for a company in the marketing department. Your manager has tasked you with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion, so you decide to run a regression the company's sales history. You find that the regression equation for the data is (sales) 104.21*(time) + 113.38. In 11 months you see the actual sales quantity was 380.64....
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...
In this exercise use the Peruvian blood pressure data set,
provided in the file peruvian.txt. This dataset consists of
variables possibly relating to blood pressures of n = 39 Peruvians
who have moved from rural high altitude areas to urban lower
altitude areas. The variables in this dataset are: Age, Years,
Weight, Height, Calf, Pulse, Systol and Diastol. Before reading the
data intoMATLAB, it can be viewed in a text editor.
This question involves the use of multiple linear regression...
Data Display Row IQ Score Mus.Apt. 1 95 30 2 106 37 3 110 35 4 104 28 5 98 17 6 114 45 7 123 33 8 100 18 9 98 24 10 88 18 11 102 30 12 105 30 13 111 32 14 106 33 15 ...
A random sample of eight auto drivers insured with a company and having similar auto insurance policies was selected. The following table lists their driving experience (in years) and the monthly auto insurance premium (in dollars). Driving Experience(years) 5 2 12 9 15 6 25 16 Monthly Premium(dollars) 64 87 50 71 44 56 42 60 Answer the following questions. (a) Does the insurance premium depend on driving experience or does the driving experience depend on insurance premium? Do you...