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Run a regression analysis on the following bivariate set of data with yx y39.6 76.7 as the response variable.
34.8 143.8
61.6 84.6
79.5 -29.1
54.9 137.7
70.7 14.2
49.4 62.3
46.8 36.7
52.9 65.2
60 32.7
66.6 26.4
51.8 69.5
Find the correlation coefficient and report it accurate to three decimal places.
r = _______
What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)
r² = ______%
Based on the data, calculate the regression line (each value to three decimal places)
y = _____x + _______
Predict what value (on average) for the response variable will be obtained from a value of 63.7 as the explanatory variable. Use a significance level 5 α=0.05 to assess the strength of the linear correlation.
What is the predicted response value? ______(Report answer accurate to one decimal place.)
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Compare and contrast the disadvantages and advantages of two of the five types of marriages proposed by Cuber and Harroff.
How do businesses in your country manage their international marketing activities? Study two local companies and discuss their international marketing strategies.
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Refer the case of Peter Welz: When a marquee prospect plays hardball (A) and answer
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Show what value do you think hypothesis testing contributes to the presentation and analysis of research data?
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