The best predicted value of y for an adult male who is 157 cm tall is kg. (Round to two decimal places as needed.)
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Q: The best predicted value of y is (Round to two decimal places as needed.)
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- Given: A regression of ln(wage) on educ, exper, exper2, female, married, numdep and two interaction terms female ∗ edu and female ∗ married. (For the interaction terms I multiplied female data x edu data and so forth) Question: What does the coefficient on the interaction term measure? Interpret the coefficients on the interaction term, female ∗ edu and female ∗ married.For a population of highly creative individuals with a creativity score µ = 60 and σ = 10, determine the percentage(s) associated with the particular z – score(s). What percentage of highly creative individuals have a creativity score below a z – score of + 1? What percentage of highly creative individuals have a creativity score below a z – score of + 2? What percentage of highly creative individuals have a creativity score below a z – score of + 1? What percentage of highly creative individuals have a creativity score below a z- score of – 1? What percentage of highly creative individuals have a creativity score below a z – score of – 2? What percentage of highly creative individuals have a creativity score above a z – score of – 2? What percentage of highly creative individuals have a creativity score above a z – score of – 1?A set of n = 15 pairs of X and Y values has a correlation of r = +0.80 with SSY = 75, and the regression equation for predicting Y is computed. Find the standard error of estimate for the regression equation. How big would the standard error be if the sample size were n = 30.
- To determine the gas constant RR, two students AA and BB perform an experiment based on the ideal gas equation given as Pv=RTPv=RT . Both use the same gaseous sample having v=16.6m3/molv=16.6m3/mol and reported the approximate value of RR as 8.3J/(K∆mol)8.3J/(KΔmol) using the minimisation of sum squared error. The data collected by both the students are reported below. Choose the correct option: A has better fit than BB BB has better fit than AA AA and BB both have same fit SSE calculated by BB is 14 SSE calculated by AA is 14 SSE calculated by both AA and BB is 14The regression line for a given dataset is found to be y^=76−1.01x. There is a pair of values x=7 and y=42 in this dataset taken from a specific individual. Compute the residual (error) of the predicted value y^ for this individual. Give your answer to two decimal places.Two types of feed have been developed for a freshwater fish raised in fish farms. 40 of the fish fed with the first feed and 50 of the fish fed with the second feed were randomly selected and average weight gains were found to be 175 gr and 130 gr, respectively. Which of the following is the point estimate of the difference in average weight gain of fish fed two feeds?
- Suppose you are interested in the percentage of students who had burrito for lunch in your statistics class. There are a total of 120 students in your class. Instead of asking each student whether they had burrito for lunch, you randomly picked 36 students from the class and found that 11 students had burrito for lunch. Calculate a single value to estimate the parameter of interestOn the second sheet is data which shows the rate of growth of a particular patch of bamboo vs daily high temperature.(a) Construct a scatterplot, including the equation of the line of best fit and value of R2.(b) What would the predicted growth rate be for a day with a temperature of 84◦?(c) Is there evidence, at α = 0.01, to support a claim that there is a linear relationship between temperature and growth rate? Please state clearly the null hypothesis, the alternative hypothesis, and what decision you make.The regression line for a given dataset is found to be y^ =76−7.51xx. There is a pair of values x =7 and y =42 in this dataset taken from a specific individual. Compute the residual (error) of the predicted value y^ for this individual. Give your answer to two decimal places
- One set of 20 pairs of scores, X and Y values, produces a correlation of r = 0.70. If SSY = 150, calculate the standard error of the estimate for the regression lineIf Elliot collects data from a single sample and her dependent variable is assessed on a nominal scale, which of these difference tests would Elliot need to use to analyze her data? a. single sample t test b. between-subjects, one-way ANOVA. c. chi square goodness of fit test d. single-sample z testA set of n = 25 pairs of X and Y values has a correlation of r = -0.50 with SSX = 38 and SSY = 14. Find the standard error of estimate for the regression equation. What percentage of the variance in Y is accounted for by X?