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Linear Regression
Generally, in two mutually related statistical series, the regression analysis based on graphic method. Under graphic method the values of X and Y variable are plotted on a graph paper in the form of a scatter Diagram .When two lines are drawn passing nearest to the dots, these are known as regression line. If these lines are straight, the regression is called as linear. The equations of these straight regression lines are called equations of the first degree. Regression equation of y on x : y =a+bX and regression equation of X and y:x =a+by. If these regression lines take the form of smooth curve, the regression will be called as curvilinear.
Linear Programming
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Properties of correlation
Your organization purchases bottles of a popular commercial solvent for resale. Each bottle is labeled as containing 32 fluid ounces of the solvent. Your cont
Purposive or Judgement Sampling Under this method of sampling, the choice of selection of sample items from the universe depends exclusively on the judgement of the investi
Problem : A company supplying electrical products, places a rush order for electric wires. Consignments of wires are to be sent immediately when they are available. Previous
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The Null Hypothesis - H0: The random errors will be normally distributed The Alternative Hypothesis - H1: The random errors are not normally distributed Reject H0: when P-v
how to interpret results, a good explanation to help me understand.
Construct your initial multivariate model by selecting a dependent variable Y and two independent variables X. Clearly define what each variable represents and how this relates t
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