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Originally posted by Sajjad1994 on 06 Feb 2020, 10:59.
Last edited by BottomJee on 26 Nov 2023, 05:51, edited 5 times in total.
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The graph shown below is a scatter plot with 48 points, each representing the number of radio ads per hour run by a company each day over 48 months, and the corresponding monthly sales revenue that the company earned. The sales revenues, measured in thousands of dollars, were tallied on the last day of each month that the ads were run. The solid line is the regression line, and the dashed line is the line through the points (1, $20,000) and (6, $50,000).
Select the best answer to fill in the blanks in each of the statements below based on the data shown in the graph.
1. The number of months in which the company generated more than $50,000 of revenue is closest to percent of 48.
2. The slope of the regression line is the slope of the dashed line.
1)0, since no month generated revenue > 50000 and only one was able to achieve 50000 2)Slope of regression line is less than the slope of dashed line since slope of regression line is -ve,while slope of dashed line is +ve 3) Relationship is negative since when number of ads increases the revenue decreases
The number of months in which the company generated more than $50,000 of revenue is closest to 0 percent of 48. According to the graph, only one month generated $50,000 in revenue; no months generated more than $50,000.
The slope of the regression line is less than the slope of the dashed line. The regression line slants downward from left to right, so it has a negative slope. The dotted line slants upward from left to right, so it has a positive slope.
The relationship between the radio ads run per hour and sales revenue is negative. As the number of ads per hour increases, the monthly revenue decreases.