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Note: this analysis was performed using the open source software R and Rstudio.

Objective

The objective of this tutorial is to explain how bivariate analysis works.This analysis can be used by marketers to make decisions about their pricing strategies, advertising strategies, and promotion stratgies among others.

Bivariate analysis is one of the simplest forms of statistical analysis. It is generally used to find out if there is a relationship between two sets of values (or two variables). That said, it usually involves the variables X and Y (statisticshowto.com).

Dataset - We will be using two online datasets available in R for this tutorial

plot(y3 ~ x2, data = anscombe, pch = 16)
abline(lm(y3 ~ x3, anscombe), col = "grey20")

### Question 1:is there a relationship between x and y? If so, how does the relationship look like? ## Yes there is a relationship, because there is an increase in the number line and only with one outlier.

library(readr)
library(readr)
ad_sales <- read_csv('https://raw.githubusercontent.com/utjimmyx/regression/master/advertising.csv')
## Warning: Missing column names filled in: 'X1' [1]
## Warning: Duplicated column names deduplicated: 'X1' => 'X1_1' [2]
## 
## ── Column specification ────────────────────────────────────────────────────────
## cols(
##   X1 = col_double(),
##   X1_1 = col_double(),
##   TV = col_double(),
##   radio = col_double(),
##   newspaper = col_double(),
##   sales = col_double()
## )
plot(sales ~ TV, data = ad_sales)

Question 2:Is there a relationship between TV advertising and Sales? If so, how does the relationship look like?

There is a positive relationship between TV advertising and sales. 11/2/20 3:30pm

Question 3:Can you plot the relationship between radio advertising and Sales? If so, how does the relationship look like?

I don’t think you would be able to plot the relationship bewtween radio advertising and Tv sales because their is simply too much data to plot. It would be too crunched and difficult to interpret.

###Question 4:Three things you learned from this tutorial ### 1) The first thing that I learned is RStudio Cloud is not as hard as I thought it was going to be. 2) The cloud recordings are very helpful just in case I miss something I can use that reference, very convienent. 3) Lastly, this tutorial helped me get a better understanding about RPubs and how to understand it a little more.

References

Bivariate Analysis Definition & Example https://www.statisticshowto.com/bivariate-analysis/#:~:text=Bivariate%20analysis%20means%20the%20analysis,the%20variables%20X%20and%20Y.

https://www.sciencedirect.com/topics/mathematics/bivariate-data