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The statistical technique used in the regression analysis. The sum of squares is a mathematical approach to determining the dispersion of the data points. In a regression analysis the goal is to determine how well a data series can be fitted into a function which might help to explain how the data series was generated. The sum of squares is used as a mathematical way to find the function, which best fits from the data. In order to determine the sum of squares the distance between each data point and the line of the best fit is squared and then all of the squares are summed up. The line of the best fit will minimize this value?
Increasing the confidence-interval level from .95 to .99
Determine percent of the garages take between 29 hours and 34 hours to erect? Determine percent of garages take 28.7 hours or less to erect?
Between what two values does the P -value of this test fall?
Public transportation and the automobile are two methods an employee can use to get to work each day. Samples of times recorded for each method are shown. Times are in minutes.
Find the t c for a 90% confidence level with a sample size of 18.
Be certain to mention the direction of the relationship, the strength of the relationship, and whether our findings are statistically significant
Carry out a test of hypothesis on each of regression coefficients. Could you delete any of the variables?
Explain distribution of sample means (shape , Expected value , and standard error ) for samples of n=36 selected from population with a mean of m =100 and standard deviation of s=12.
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)
Over the last year the absentee rate at a large corporation averaged 8.2 days absent with a standard deviation of 6 days. One department with 40 employees had an absentee rate of 12 days per employee.
Use the following data to write the normal equations of the linear regression between Y and X, and find the least squares regression.
Testing equality of two means - difference in performance of the two gasolines and difference in gasoline mileage output
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