WT Meiema Vave Day3
Actual Assessment Bivariate Data
Problem: In this investigation we are given data resource on Movie times. There are 8 variables such as age film, budget, gross profit, rating, male rating, female rating, awards and main genre. These variables are given to us to investigate if there is a positive relationship between the variables.
Plan: The two variables that I will be looking at are the gross profit (the amount of money of US dollar that the film made in the US) and the budget (the amount in millions of US dollar that was spent in making the film). With these two variables I am going to investigate if there is a positive relationship. It seems logical to investigate the relationship between the gross profit and the budget, because the more money they use which is their budget then the more money they will earn depending on how successful their film is.
Data:
Analysis: From the graph above it shows that my explanatory variable is the budget in 1000000 of US dollars. The reason why budget is the explanatory variable because budget can control or change the amount of money they put in to make their film. And my response variable is the amount of gross profit in 1000000 of US dollars. The reason why the gross profit is my response variable is because the gross profit depends on how much money the film makers’ use to gain a high gross profit.
My graph shows that if the budget in 1000000 increases the amount of gross profit in 1000000 will increase as well. The reason for this is because the more money they use on the movie/film the more money they will earn at the end of it. Therefore the graph shows a positive moderate relationship as the points are scattered around the trend line. This is an appropriate graph as there is evidence showing that the points fit perfectly on the linear trend line.
The correlation coefficient r=0.70 supports that my graph has a positive moderate relationship. Also in my graph there are outliers at points (200, 600.743), (11,
Problem: In this investigation we are given data resource on Movie times. There are 8 variables such as age film, budget, gross profit, rating, male rating, female rating, awards and main genre. These variables are given to us to investigate if there is a positive relationship between the variables.
Plan: The two variables that I will be looking at are the gross profit (the amount of money of US dollar that the film made in the US) and the budget (the amount in millions of US dollar that was spent in making the film). With these two variables I am going to investigate if there is a positive relationship. It seems logical to investigate the relationship between the gross profit and the budget, because the more money they use which is their budget then the more money they will earn depending on how successful their film is.
Data:
Analysis: From the graph above it shows that my explanatory variable is the budget in 1000000 of US dollars. The reason why budget is the explanatory variable because budget can control or change the amount of money they put in to make their film. And my response variable is the amount of gross profit in 1000000 of US dollars. The reason why the gross profit is my response variable is because the gross profit depends on how much money the film makers’ use to gain a high gross profit.
My graph shows that if the budget in 1000000 increases the amount of gross profit in 1000000 will increase as well. The reason for this is because the more money they use on the movie/film the more money they will earn at the end of it. Therefore the graph shows a positive moderate relationship as the points are scattered around the trend line. This is an appropriate graph as there is evidence showing that the points fit perfectly on the linear trend line.
The correlation coefficient r=0.70 supports that my graph has a positive moderate relationship. Also in my graph there are outliers at points (200, 600.743), (11,