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Using the following information, find the equation of the regression line, and predict the heart rate when 0.27 milligrams of the drug is used.
Drug Dosage, x 0.125 0.20 0.25 0.30 0.35 0.40 0.50Heart Rate, y 95 90 93 92 88 80 82
Draw two pie charts, which allow the total yearly exports to be compared. Explain the trend in the export of fish as shown in the two pie charts.
Find out the slope, b, and the intercept, a, for the least-squares line. Write the equation of the least squares line.
A medical research project examined the relationship between the subject's weight and recovery time from surgical procedure, as shown in the table below.
Display the data in scatter plot. Calculate the linear correlation coefficient. Use the scatterplot to make a conclusion about the type of correlation.
How large a sample would be necessary to estimate the population proportion with a margin of error of 0.05 at 95% confidence?
Significance level to test the claim that less than half (.5) of all executives identify that error as being the most common job interviewing error.
The amount of time the university professors devote to their jobs per week is normally distributed with a mean of 52 hours and a standard deviation of 6 hours.
Regression and Correlation are two of the most often used and abused tools in research. People are quick to jump to conclusions that if a relationship exists between two variables, then one must cause (causation) the other.
A recent article suggested that if you earn $25,000 a year today and the inflation rate continues at 3 percent per year, you'll need to make $33,598 in 10 years to have the same buying power. You would need to make $44,771 if the inflation rate ju..
In both cases, give a number of data points, n, and a correlation coefficient, r. Draw a number of data points, n, and a correlation coefficient, r. Tell whether the correlation is significant at 0.05 or 0.01 level, explain.
Mary claims that the range, standard deviation and variance are all measures of dispersion. John adds to Mary's claim by stating that the coefficient of variation is a measure of relative dispersion.
Run an ANOVA using only groups 1 to 6 (You can hide group 7 from the analysis by data followed by select cases and then you filter out group 7 by if GROUP~= ). Also run the posthoc tests LSD and Bonferroni.
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