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1. What terms describe the fit of a regression equation to the data? When is this fit good enough?
2. Discuss with an example, how regression may be used at your workplace. Using Time Series to Analyze Business Trends
3. What type of data is best described using a Time Series? Think of an example from your work place or from your day to day experience.
4. Explain if this data becomes obsolete over time.
5. Provide an example of each component and how it might be used in business
A 500g sample of an unknown material requires 750 calories of heat to raise its temperature by 50 degrees C. Use equation (1) and table 6.1 to identify the material.
A bag contains $780 in nickels, dimes, and quarters. Of the total number of coins in the bag, 10 percent are dimes, 20 percent are nickels, and the rest are quarters. If there are 400 dimes in the bag, how much does the bag weigh?
How many hours will it take thebullock cart to travel 20 km?
Develop a joint probability table. Develop a probability tree showing all marginal, conditional, and joint probabilities.
A toy making company has at least 300 squares of felt, 700 oz of stuffing, and 230 ft of trim to make dogs and dinosaurs. A dog uses 1 square of felt, 4 oz of stuffing, and 1 ft of trim. A dinosaur uses 2 squares of felt, 3 oz of stuffing, and 1 f..
Find the distance between the two parallel planes : 5x + y - z = 1 and 10* + 2y - 2z = 5. You should be able to use your plan above to help with this one.
What is the probability of the duck being killed
part anbsp1. the degreev of a pendant vertex may be either one or zero.nbspnbspnbspnbspnbsp tnbsp ornbsp fnbsp2. a tree
If an investor purchased 50 shares of Pearson Education stock at $85 per share, 90 shares at $105 per share, 120 shares at $110 per share and another 75 shares at $130 per share. What is the mean cost per share?
Six years after purchasing shares in a mutual fund for $7800, the shares are sold for $11,100. What is the total return in percentage and the annual return in percentage?
Assume that X is normally distributed with a mean μ= $64. Given that P(X ≥$75) = 0.2981, we can calculate that the standard deviation of X is approximately
a small purse is full of coins. if you count them by twos, threes, or fives, there is one left. if you count them by sevens there will be none left. how many coins are in the purse?
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