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- (c) Determine if the means of samples 1 and 2 overestimate, underestimate, or are equal to the population mean. The mean pulse rate of sample 1 the population mean. The mean pulse rate of sample 2 the population mean.Use the Stata output below to answer the following question. The data used in this analysis is from a sample of airlines. The variables used are: fare-avg price of a one-way fare, in dollars dist- distance of the flight, in miles .reg fare ldist. Source Model Residual 551.391705 Total lfare SS ldist _cons 875.094374 df The OLS results suggest that 1 323.702668 120024315 4,594 MS Coef. Std. Err. 4,595 190444913 Number of obs F(1, 4594) Prob > F R-squared Adj R-squared Root MSE t P>|t| .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 4,596 2696.98 0.0000 0.3699 0.3698 .34645 [95% Conf. Intervall .3873676 .4177617 2.297575 2.502093 a 1% increase in distance is associated with approximately a $.40 increase in the price of the fare. a 1% increase in distance is associated with approximately a .40% increase in the price of the fare. a 1% increase in distance is associated with approximately a 40 % increase in the price of the fare. None of the above.Which of the following tools is not appropriate for studying the relationship between two numerica variables? Correlation coefficient Scatter plot Historam Regression
- Can you please check my workThe independent variable in either a before/after t or a within subjects F is always of what data scaleActuaries use various parameters when evaluating the cost of a life insurance policy. The variance of the life spans of a population is one of the parameters used for the evaluation. Each year, the actuaries at a particular insurance company randomly sample 30 people who died during the year (with the samples chosen independently from year to year) to see whether the variance of life spans has changed. The life span data from this year and from last year are summarized below. Current Last Year Year x1 = 75.8 | x,= 76.2 si= 47.61 s3= = 92.16 (The first row gives the sample means and the second row gives the sample variances.) Assume that life spans are approximately normally distributed for each of the populations of people who died this year and people who died last year. Can we conclude, at the 0.05 significance level, that the variance of the life span for the current year, of, differs from the variance of the life span for last year, o,? Perform a two-tailed test. Then complete the…
- This exercise requires the use of a statistical software package. The cotton aphid poses a threat to cotton crops. The accompanying data on y = Infestation rate (aphids/100 leaves) x1 = Mean temperature (°C) x2 = Mean relative humidity appeared in an article on the subject. y x1 x2 y x1 x2 62 21.0 57.0 76 24.8 48.0 86 28.3 41.5 94 26.0 56.0 99 27.5 58.0 99 27.1 31.0 105 26.8 36.5 119 29.0 41.0 101 28.3 40.0 75 34.0 25.0 64 30.5 34.0 44 28.3 13.0 28 30.8 37.0 18 31.0 19.0 15 33.6 20.0 22 31.8 17.0 31 31.3 21.0 24 33.5 18.5 68 33.0 24.5 41 34.5 16.0 5 34.3 6.0 22 34.3 26.0 19 33.0 21.0 24 26.5 26.0 43 32.0 28.0 55 27.3 24.5 59 27.8 39.0 60 25.8 29.0 81 25.0 41.0 88 18.5 53.5 76 26.0 51.0 103 19.0 48.0 109 18.0 70.0 96 16.3 79.5 Find the estimated regression equation of the multiple regression model y = ? + ?1x1 + ?2x2 + e. (Round your numerical values to two decimal places.) = Assess the utility of the…Calculate Pearson's correlation coefficient using the following values: (image attached)For a data set of brain volumes (cm3) and IQ scores of eleven males, the linear correlation coefficient is requals 0.883.Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed.)
