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Laura wanted to build a multiple regression model based on advertising expenditures and Coffee Time's price index. Based on the selection of all normal values, she obtained the following:
Multiple R = 0.738R-Square = 0.546
By using lagged values, she came up with the following:
Multiple R = 0.755R-Square = 0.570
Explain the differences in using these different models and how can the model be improved
Does the data prove a significant difference in mean times?
Data is distribution of the most popular colors for 2005 model luxury cars made in North America. Design the pie chart and bar graph for data.
A sample of 49 provides a sample mean of 38 and a sample standard deviation of 7. Determine the standard error of the mean.
A random sample of students is selected, and each one is asked to try first brand A and then brand B, or vice versa with the order determined at random.
Given that consumer changed te brands, what is the probability that consumer purchased fewer products than before?
What is the stock's value at it's highest on 15 days of the year? (Assume that there are 240 trading days in a year).
Develop a linear trend equation for the time series. Graph the time series and the linear trend equation. What appears to be happening to capital expenditures? What is the forecast one year, or four quarters, into the future?
Find out the correlation among the two variables in the regression. A simple linear regression produced the following computer output.
Construct the following confidence intervals for your data set:
Calculate a four-quarter weighted moving average for the number of America Online (AOL) subscribers for the nine quarters of data. The data are reported in thousands.
At the .05 significance level, is the number of units produced on the afternoon shift larger?
For each year, create a bar chart and a pie chart.
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