Mean of API= 165.49/13= 12.73Variance= 15,818.46- 15563.08= 255.38/12= 21.28Standard error= 0.035Z-score of 95% confidence = 1.96 but Z= (x-mean)/standard deviationPrice= 0.976×0.035+12.73= 12.8Question 295% confidence= Z0.05= 1.96Mean oil price= 165.49/13 = 12.73Variance= 1/n-1(x-mean) 21/12(2109.1937-2106.6877) = 0.2088s.t = 0.20881/2/13= 0.035z= (x-u)/s.t where s.t is the standard error.Lower limit= 12.73- 1.96×0.035= 12.6614Upper limit = 12.73+1.96×0.035= 12.7986Confidence region for the mean= 12.66≤x≤12.7986Question 3The interval for x is narrower than the interval for y since the standard error is smallQuestion4Predicted values of y given the regression equation y= 9.4349+0.095235x, replacing values for x and solving for y we get the predicted values of y to bePredicted values residual values 10.58 16.4210.58 17.9210.61 20.1910.60 20.710.62 21.2810.64 23.8610.65 23.3510.67 24.0310.67 26.3310.69 30.3110.69 30.3110.69 28.1110.7 28.6Question 6A graph of residual values against the predicted valuesQuestion 7Heterosdacity is a problem since there is a wider variability between the two variables in the scatter diagram. I.e. as the independent variable increases the gap, hence, makes it difficult to analyze the data.Question 9Standardized residuals are values divided by their standard errorsStandard erro= 0.35 and dividing we get the following values46.9151.259.1460.868.1766.7168.6575.2386.686.680.3181.71Question 10Possible outliers30.31, 30.31, 28.11, 28.6
These aspects will now be discussed.
We have a two-tailed test and an alpha level of .05. Notice the research hypothesis is framed in the direction that we should expect, an improvement in scoring. Nevertheless we will assess the hypothesis using a two-tailed test.
These two variables are part of socioeconomic factors that affects the psychological health of an individual. Inadequate finances can be an act of poverty which in turn considered a risk factor for declines
The variables dealt in the data are: Sales per square metre which is referred by sales (also the target variable), Number of full timers which is referred by nfull, Number of part timers which is referred by npart, Total number of hours worked
The aim of the analysis is to investigate how each of the independent variables (the number of full-time employees, number of part-time employees, total number of hours input by employees, and the size of the sales’ store) affects the response (sales
d more than one position, a president can be selected from 19 members, a vice president can be selected from remaining 18 members, a secretary can be selected from remaining 17 members and a treasurer can be selected from remaining 16 members. Therefore,
Decision: Reject H0, as
This project will only use the Closing Values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation and
Based on the positive value of the gradient, when X increases, Y also increases. The equation of the line of best fit is given by Y=1.4954X+11.847 For, X=1 Y=1.4954(1)+11.847=13.3424
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The author of this assignment "Statistics: Project Questions" touches upon the statistics issues. It is mentioned here that heteros dacoity is a problem since there is a wider variability between the two variables in the scatter diagram. i.e. as the independent variable increases the gap…