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The F–test
The significance of the regression results can be tested by using the F- statistics. The F-statistics is a ratio which compares the explained sum of squares and the unexplained sum of squares.Therefore, F = mean sum of squares due to regression Mean sum of squares due to residualFor calculation purposes:F = r2 /K (1 – r2)/n-k-1F statistics can then be used to test the hypothesis that the relationship between the dependent variables and all the independent variables is not significant.
Question: (a) A retail store wants to evaluate how many units it must sell in order to earn a profit of Rs 10000 per month if the price of the unit is Rs 300, the average varia
In this method, approximation of various assets here excluding cash and including liabilities are made getting into consideration the transactions in the ensuring period. Afterward
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Marginal cost or incremental cost pricing method: Here the company may work on the premise of recovering its marginal cost and getting a contribution towards its overheads. Thi
The Baumol Model in 1952 considers cash management complication as same to inventory management problem. For itself the firm attempts to minimize the total cost that is the sum of
Illustration of Marginal profit To illustrate the computations, suppose that the marginal profit or XE in our model is changed from 3 to 3 + δ1, where δ represents either posit
UNCERTAINTY OF DEMAND Demand is the most troublesome variable to predict accurately. Actually, demand may fluctuate from day to day, from week to week or from month to month. T
if equipment will be depreciated on a straight-line depreciation basis over a five year period with an estimated residual value, what do I do with this information in a investment
x+2y+3z=6 2x+4y+z=7 3x+2y+9z=14
Std error of the slope (Sb) Correlation coefficient measures the degree of association between two variables such as the cost and the activity level. The standard error of ‘
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