title: “Bivariate analysis for marketing managers” author: “zhenning Jimmy xu, follow me on Twitter: https://twitter.com/MKTJimmyxu” date: “10/24/2020” output: html_document editor_options: chunk_output_type: console —
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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).
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?
There seems to be a positive correlation between x and y. The scatter plots seem to be moving upwards to the right.
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 4:Three things you learned from this tutorial ### (1)Further understand how bivariate analysis works. (2)More information on scatterplots. (3)Relationship between Sales and TV Advertising.
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