People should be able to “decide”  who the love of their life is no later than in their 20’s. 

A person who is clingy tens to be rejected over and over in romantic and non-romantic relationships.

The main reason college students leave or drop out of college is because the coursework is too hard.

Briefly define supervised machine learning.   If you use a supervised method to analyze your company’s data in support of a business decision, what assumptions are you making regarding your markets, competition, etc.?

You have used the Hawaiian Vacation data set and the following R command to generate the following graph:plot(vac$Income, vac$Family_size) knn_07.png Can you tell from this graph whether income and family size are positively correlated, negatively correlated, or not correlated?If you had to guess just using this graph, what would your guess be?What additional R command(s), if any, might you like to use to get a more specific answer?

Define RMSE and briefly describe how and why we use this metric when evaluating linear regression models.

You have run the following R code and produced the following R output:  Call:   lm(formula = a_y ~ a_x, data = a_frame)       Coefficients:   (Intercept) a_x 1.41883 0.05401  What is your dependent variable?

This refers to the Hawaiian Vacation KNN analysis script and output. What is the target variable, and what is/are your independent variable(s)? Please give a brief explanation of each variable and your reasoning.

In R, a data frame is

You are running a grand Hawaiian vacation marketing project, and you have run a KNN algorithm to help determine whether new prospects will or will not become buyers.The data you have available to you is the household income and family size.  Following is the R script you wrote, and then the output when you ran it on your vacation data.  Answer the following questions after reviewing the R script and the R output. Do not run anything in the Virtual Lab; just base your answers off of this output.You are welcome to download these files to your desktop and use Notepad, Excel, or any other program you like to view them.  Please delete them at the end of your exam.Here is the script:Vacation_Hawaii_Script.R Here is the output: Vacation_Hawaii_Output.txt