Year 1 1 2 2 2 2 3 3 3 3 4 4 4 4 Quarter 2 3 4 1 2 3 4 1 2 3 4 1 2 Period 1 2 3 4 5 6 7 8 9 10 11 12 13 3 14 4 15 Excel shows a linear regression of 19,778 +724t use this Fill in All the missing information 134 Demand D 9224 13545 25235 36324 12346 19635 25743 39976 14134 14999 34123 43232 Deseasonalized Demand Seasonal Factor S
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- Researchers are investigating how the amount of monthly rainfall, measured in centimeters (cm), affects the monthly growth, in cm, of a certain plant. From a sample of data, the researchers created a least-squares regression line. Computer output is shown in the following table. Which of the following statements is an interpretation of the value 0.75 shown in the table?What types of independent variables—binary or continuous—may interactwith one another in a regression? How do you interpret the coefficient on theinteraction between two continuous regressors and two binary regressors?A manufacturer of car batteries claims that the mean lifetime of their battery is 67 months. Thinking that this claim is inflated, graduate students buy a random sample of 72 car batteries from this manufacturer. How should they proceed? a) Perform a hypothesis test of H0:μ=67 versus Ha:μ>67 b) Perform a hypothesis test of H0:μ=67 versus Ha:μ<67 c) Use Simple linear regression
- In a study of spot number in beetles, which have normally-distributed spot counts, you collect 46 beetles from the wild and count their spots. The average spot count is 8.7. You estimate the heritability using parent-offspring regression, which gives an estimate of 0.83. Then you split the population into two classes: those with 9 or more spots and those with 8 or fewer spots. The first group has an average of 11.3 spots and the second has an average of 6.8 spots. The offspring produced by the first group (the larger beetles) have an average of 10.78 spots. What is the expected mean of the second group?In a bivariate regression, the variable from which a prediction is made is called the predictor variable, whereas the variable to be predicted or (the outcome) is called the: Group of answer choices predictor variable. criterion variable. coefficient variable. covariate variable.A linear regression test can be responsibly performed only when there is a significant outcome of: a)any study B)experimental study C)quasi-experimental study D)correlational study
- Use the residual plot in order to choose which option is true in the brackets. (yes or no), it (was or was not) appropriate to compute the least-squares regression line because the residual plot (exhibits or does not exhibit) a noticeable pattern.Define Sharp regression discontinuity designs with example?Sales of a particular product for the years 2017 through 2020 have been 47,505, 53,010, 49,385 and 81,933 respectively. What sales would you forecast for 2021 using the simple regression (least squares) method?
- The table below shows the average weekly wages (in dollars) for state government employees and federal government employees for 10 years, construct and interpret a 98% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $888 the equation of the regression line is y= 1.453x-47.386. Wages(state), X | 739|760|784|822|898|921|937|954|965| Wages (federal), Y |1,036|1,054|1,105|1,136|1,192|1,253|1,266|1,327|1,400|find the regression line associated with the set of points. (6,7), (8,8), (9,9)The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. In a particular region, 26.5 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $29,889. Is this income higher or lower than what you would expect? Why?