In: Statistics and Probability
Date | Sales |
12-Jul | 729.4 |
13-Jul | 729.1 |
14-Jul | 746.7 |
15-Jul | 754.6 |
16-Jul | 794.2 |
Using the sales amount given in the table answer the next questions: | ||||||
(1) Calculate the forecast sales for the year 2017, 2018, and 2019 using the TREND function. | ||||||
(2) Add a line chart with markers using insert function | ||||||
(3) Add a Trendline to show a linear line | ||||||
(4) Display the Equation and R-squared on Chart |
Using the sales table given to answer the next questions. See the next worksheet for steps | ||||||
(1) To get a visual picture of the historical relationship, create a scatter chart of the data (sales and Cash). | ||||||
(2) What do you notice? What kind of relationship between sales and Cash does the plot suggest? |
Run regression analysis and answer the following: | ||||||
(3) What exactly is the relationship between Sales and Cash as per the regression results? Does it confirm to your guess from (2) above? Why (not)? |
(4) How much of the variablitity in Cash can be explained by Sales? |
(5) How good is the coefficient on Sales? I.e., how confident are you about the aforementioned relationship between cash and sales? |
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Please revert back in case of any doubt.
Please upvote. Thanks in advance.