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1) Consider 70% for training dataset and 30% for validation dataset and fit a regression model using training dataset and apply all the concepts which were covered
2) Once the final model is done.Find the predicted values for validation dataset using the model obtained by training dataset.Compute R square and Root Mean Square and compare these values with R square and Residual Standard error obtained by the training model.
a) Checking whether linear regression modeling is appropriate for a problem at hand,
b) Developing a linear regression model when appropriate and
c) Validating a developed model.
A realtor took a random sample of records of sales of homes from the files maintained by the Albuquerque Board of Realtors.
Mean=63.6 Standard deviation=2.5 If 36 data points are arbitrarily chosen, determine the probability that mean is less than 64.
in a human factor experimental project it has been determined that the reaction time of a pilot to a visual stimulus is
a factory produces computer chips and the proportion of defective chips is 0.01 i.e. p0.01.suppose you take a sample
1. create the data set.a. using the activity 6a.sav file as a starting point create a new dataset that you can use with
Micron Electronics makes both desktop and laptop personal computers that they sell directly to customers by phone or over the Internet.
Determine the point estimate in this study? Compute the standard error in this example?
Suppose that in NY State, 35% of voters are Democrats, 30% are Republicans, and 11% are independent. You are conducting a poll by randomly calling registered voters. In your first four calls, what is the probability that you talk to:
the following cross tabulation shows household income by educational level of the head of household statistical
question an er nurse notices that when she and her colleagues are asked to work overtime they seem to get less sleep
Reflect on radical expressions and their applications, and then consider how you might apply radical expressions to your daily life. Explain this application,
Using the following number of flirtations actions in the 4 hour period, test the "null hypothesis'
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