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1. Regression analysis was applied between sales in ($1000) and advertising(in $100), and the following regression function was obtained: Y = 61 +4.1X Based on this regression line, if advertising is $10,000, the point estimate for sales (in dollars) is what
2. How do we use a least squares regression line? Please explain in your own words.
3. What is the range for the coefficient of determination? Please explain in your own words.
Bob Billy is an operations analyst for Dollar-Does-It stores based in Iva, SC. He is currently studying the order and stocking policies for top-selling toy.
Utilizing Excel data analysis calculate t distribution also deduce the result. Study of variance is used to investigate if there is a difference in the mean mileage of the three cars.
Why can not we just do several two sample tests like we did in the last week. In your own words explain briefly also tell us what these are and what did it mean.
A coin was flipped 60 times and came up heads 38 times. (a) At the .10 level of significance, is the coin biased toward heads? Show your decision rule and calculations. (b) Calculate a p-value and interpret it.
Based on the equation of the least-squares line, we use software to predict the average number of home runs hit per game per team for the year 2001. We obtain the following.
A 95% confidence interval for the proportion of all adults who bought a lottery ticket in the past year is (assume Gallup used an SRS)
Assume that the mean parameter θ for the RV L is unknown. To estimate it, a random sample of n = 10 light bulbs is selected, and the lifetime of each light bulb is measured. Let X denote the number of those 10 sampled light bulbs that burn longer ..
With the test statistic you chose, work out the problem with solution using .05 level of significance if it applies.
Probability using discrete distribution.The probability distribution for the random variable x follows.
Determine marginal probability distributions of X and Y . Compute conditional probability P ( Y = 2 | X = 1)
A certain random experiment can result in one of four different possible outcomes, which we'll call A, B, C and D.
How would you communicate this information to the Vice-President of Human Resources in non-statistical language.
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