The randomly generated data, data1 is an array of 1000 samples from a normal distribution with a mean of 100 and a standard deviation of 20.

-The randomly generated data, data2 is an array of 1000 samples that is a combination of a scaled version of data1 and another normal distribution with a mean of 500 and a standard deviation of 10.

-The mean and standard deviation for data1 and data2 were calculated as, data1: mean=100.713 stdv=20.280, and data2: mean=520.048 stdv=10.527.

-The csv file contains two columns, the column at the 0 index represents total amount spent on advertisement for a given day, the second column represents total sales for that same day. You will load in the file using numpy and display the two data fields as a scatter plot.

-The mean and standard deviation for data3 (Amount Spend on Advertising) and data4 (Total Daily Sales) were calculated as, Amount spent on Ads: mean = 99.095 and stdv = 19.741, and Total Daily Sales: mean = 519.955 and stdv = 10.340

-The positive covariance indicates the variables tend to move in the same direction. This means that when more was spent on advertising, the total daily sales incrased.