10. Based on the above estimated regression line if the number of pages is 1000, then the point estimate for price is S10 b. а. S11.042 $750 $1052 с. d.

The U.S. Census tracks the percentage of persons 25 years or older who are college graduates. That data forseveral years is given in Table 4[14]. Determine whether the trend appears linear. If so, and assuming the trendcontinues. in what year will the percentage exceed 35%?

Demand for Candy Bars In this problem you will determine a linear demand equation that describes the demand for candy bars in your class. Survey your classmates to determine what price they would be willing to pay for a candy bar. Your survey form might look like the sample to the left. a Make a table of the number of respondents who answered yes at each price level. b Make a scatter plot of your data. c Find and graph the regression line y=mp+b, which gives the number of respondents y who would buy a candy bar if the price were p cents. This is the demand equation. Why is the slope m negative? d What is the p-intercept of the demand equation? What does this intercept tell you about pricing candy bars? Would you buy a candy bar from the vending machine in the hallway if the price is as indicated. Price Yes or No 50 75 1.00 1.25 1.50 1.75 2.00

Can the average rate of change of a function be constant?

After interviewing salespersons at Harley Davidson dealerships, a researcher has created a linear regression line to explain the relationship between a Harley Davidson motorcycle's age (x) and price (y). The regression has an  = 87.7%. Write a sentence summarizing what  says about this regression.         The age of the motorcycle explains 12.3% of the variation in price.   The age of the motorcycle explains 9.36% of the variation in price.   The age of the motorcycle explains 87.7% of the variation in price.   The price of the motorcycle explains 12.3% of the variation in age.   The price of the motorcycle explains 87.7% of the variation in age.

Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion).  Use the horizontal axis for the customer age to graph.  Find the linear regression line that models the data by each type of customer.  Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales.  What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y  / Change in x

The slope of a regression line=-6.879 How do you interpret the slope? Is it significant?

Answer all parts of question please, thank you!

if you write the steps clearly it would be great.  thank you

What are the odds in favor of drawing a face card from a standard deck of 52 playing cards? 10:3 13:3 3:13 3:10 auto proctoru.com is sharing your screen Stop sharing Hide