Fall 2020        Yi_sales Xi_advert Xi*Yi Xi2 Predicted Yi_sales Residuals Residuals2 700 8 5600 64 626.6307 31.36929 984.0326 560 2 1120 4 292.4166 267.5834 71600.89 1000 13 13000 169 892.8691 47.13091 2221.323 302 5.8 1751.6 33.64 513.3378 -166.338 27668.26 100 2.1 210 4.41 303.7459 -179.746 32308.57     21681.6 275.05     134783.1 y-bar = 532.4           x-bar = 6.18               Changed for fall 2020 Question 13.  For the sales regression in the very previous question, What is the numerical value of b1, or the sample slope coefficient for the sales regression?  The data is reproduced above for your convenience.  Also, here is the sample regression function that you should get values for….   Yi = b0 + b1Xi + ei where Yi = sales (in millions) and Xi = advertising expenditures (in millions)   a)  a.          around 62      b)  b.         around 82     c)  c.          around 70      d)  d.         around 148

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Bar Graphs

A bar graph is a chart or graphical representation of data. A bar chart, also known as a bar graph, is a graph or chart that displays categorical data using rectangular bars with heights or lengths equal to the values they represent. Typically, bar graphs show categorical and numerical variables grouped in class intervals. A bar graph is useful for comparing and analyzing a set of data.