Exercise 6
Individual Exercise 6 (10 points)
1. Build a simple regression model to predict Concrete compressive strength by Cement
(component 1). Now, in this context, explore various options and answer the following
questions:
a. Is the coefficient for C

Exercise 7
Questions:
1
Build a regression model using Y as dependent and X1-X7 as independent variables.
a) Is the overall regression model significant? What percent of the variance is being
explained by the model? Report. (1 point)
The overall model fit

Exercise 8
EXERCISE 8
1. Run a stepwise logistic regression model to select the variables from the above
mentioned independent variables using probability to enter and stay as 0.05.
a) Which variables are selected in the stepwise model? (2 points)
The Res

Individual Exercise 1
Individual Exercise 1 (10 Points), MKTG 5733
1. You plan to analyze this data using JMP. But, you must think hard about what is the
measurement level for each variable. Fill-in the following table and turn it in is as a
part of your

Individual Exercise 11
Individual Exercise 11 (10 Points)
PART A (5 Points)
1. Based on Scenario3:
Total Number of Customers: 10,000; Retention Rate: 85%; Year 1 Revenue per customer: $250
Year 2+ Revenue per customer: $300; Annual Cost/Customer: $40; NPV

Exercise 2
Individual Exercise 2 MKTG 5983 (10 Points)
1. Calculating probabilities, checking independence of events, etc.
a. The variable Total LTD Orders in the data refers to number of orders placed by the
customer till date in his/her lifetime with th

Exercise 10
Individual Exercise 10 (10 Points)
1. Run a Wards method with standardization options on all of the base variables.
Explain the results. Look at the dendogram (make sure you change dendogram scale
to distance and select color clusters), scree

Exercise 9
Individual Exercise 9 (10 Points)
a. Are the averages for NetRev statistically significantly different for those who received the
discount versus those who did not? What do these averages imply for the marketer?
(2 point)
The ANOVA results indi

11614842
Individual Exercise 12
Individual Exercise 12
Joe kim
11614842
Individual Exercise 12
11614842
Joe Kim
Joe kim
11614842
Individual Exercise 12
Joe kim
11614842
Individual Exercise 12 (10 Points)
Data Set Information:
You will work with Churn data

Individual Exercise 3 (10 Points)
1. A Soccer championship team data set shows that the distribution of goals is continuous and
normally distributed with a mean of 29 goals. and Standard Deviation is 5 goals.
a
A sports magazine claims that 80% of the tim

Part 1:
a. Probability of number of orders placed between 4 and 12, inclusive.
= P(4)+P(5)+.P(12) = 0.264, or 26.4%
To find this probability, I used the Analyzedistribution function in JMP
for the variable Total LTD Orders. Then I used the probabilities i

Question 1:
a. This is not an accurate claim. If the distribution of goals is continuous and normally distributed,
the probability that the teams goals will be between 24 and 34 goals is 68.26%. We know that
for standard normal distributions, the probabil

1. To test this, I can use a two-sample t-test for the variable DemAge against the grouping variable
TargetBuy. The hypotheses are as follows, where yes represents clients who purchased
organics and no represents those who have not:
H 0 : Yes= No
H 1 : Ye

1.
H 0 : =5000
H 1 : 5000
95% CI for
=5
= 4937.074, 5284.680
$5000 is within the CI of 4937.074 and 5284.680; therefore, at
=5 , we do not reject the
null hypothesis.
2.
H 0 : =50
H 1 : 50
is not specified in this problem, assume 5%
Since the p-value i