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Interpretation of coefficient of determination
If computing a causal linear regression model of y = a + bX and the resultant r2 is very near zero, then one would be able to conclude that:
1. y = a + bX is a good forecasting method.
2. Y = a + bX is not a good forecasting method.
3. a multiple linear regression model is a good forecasting method for the data.
4. a multiple linear regression model is not a good forecasting method for the data.
What proportion for smoking teenagers think their peers care a lot about keeping their weight down?
Calculate correlation coefficient for these sample data.
A month is classified as "extremely wet" if the amount of rainfall is in the upper 10% for that month. How much precipitation must fall before a month of April is classified as "extremely wet".
Bougainvilleas, mean growth rate was 2.23 inches/week and sample standard deviation was 0.77 inches/week. Determine a 90% confidence interval for mean growth rate of all Bougainvilleas.
Based on this information, if department employee selects random sample of n = 9 containers, determine probability that mean volume for sample will be greater than 1.01 gallons?
Construct a 90% confidence interval for the population proportion p . Does your result agree with your conclusion in part (a)?
Your statistics instructor wants you to determine a confidence interval estimate for the mean test score for the next exam.
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Kind of examination produced significant main effects on both mean mark and time taken to complete the examination.
What is the probability of finding 1 or more children with chronic bronchitis in a population where the incidence rate of chronic bronchitis is 10% (like the one above?)
What is the sample space for this process and evaluate the variance of the intelligence scores
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