The Theory Of Regression Results

Problem: How is the height of the geyser affected by the number of mentos added to the Coke?

Question 31 In Bovania, cattle compose 48% of the consumer price index (CPI), housing composes 32%, and entertainment accounts for the remaining 20%. If, in a certain year, the price of cattle rises by 30% and the price of housing rises by 25%, then:

Sales (in $ 1000s)= 16,020.78118 + 149.15175 * %spanishsp – 44.16538 * %dryers – 112.48017 * %freezer – 79.84655 * %sch0-8 + 9,393.82229 * comtype1 + 3,802.26442 * comtype2 – 3,123.24462 * comtype7

* Independent variable coefficient – This is the measured effect the independent variables have on the dependent variable. This is the main output of the regression analysis.

I believe that higher levels of religiosity will have a large negative impact on the number of women legislators in a state. I hypothesize this is because states with higher levels of religiosity tend to also be more conservative and therefore would have more patriarchal values which would go against seeing women as legislators. I found in my data that religiosity did have a large negative impact on the number of women legislators in different states. In a summary of the data, I found that for every 1 unit increase of religiosity in state the number of women legislators would go down by -.06035, and since it has a T value of -3.559 we can see the data is reliable. As for the Democratic share of the vote for president variable I found it had a positive impact on the number of women legislators in a state. For every one unit increase of this variable there was a .31286 increase of women legislators, and this variable had a T value of 2.494 so I can use the data. I originally assumed that this variable would have a positive impact on the number of women legislators in a state and I found that this

Project two in ECON-E 281 - APPLIED STAT FOR BUS & ECON II consisted of the students evaluating three independent variables such as Pickup Time, Delivery Time, and Mileage. The dependent variable was Cost. Only one independent variable could be selected when applying “ONLY” the p-value approach. The first step, I selected the Data then the Data Analysis tool. Next select Regression. The Input Y Range I selected the Cost data. The Input X range I selected the first independent variable Pickup time. Then check marked the boxes Labels, Confidence Level 95%, New Worksheet Ply, Residuals, and Residuals Plots. After checking the boxes I pressed OK. This gave me my first regression model. I used this process for the next two independent variables

The purpose of the paper is to explain why there is a decrease in price as demand increases for turkeys. Typically, the price should increase, as the demand is increased, but between October and November, the retail prices are seen to drop an average of 9 percent, where the prices should be increasing due to Thanksgiving (Rampell). Rampell states that the suppliers are perceiving turkeys as “loss leaders” which are products that purposefully have a low price in order to attract customers (Rampell).

3. Compare the financial results from Question 1 and 2 and highlight your observation regarding contribution. Based on your calculations, what is the relationship between volume and cost?

We collected fingerprints from a tile found at the crime scene. We found two fingerprints and compared them to the fingerprints in the suspect database. Both fingerprints had an arch ridge pattern. Using this information, we can immediately exclude the Maine South Redhawk, the New Trier Trevian, and the Waukegan Bulldog. None of these suspects had any fingers with arch ridge pattern. The Niles North Viking and the Glenbrook North Spartan each have a single finger with the arch ridge pattern. We found that neither print matched the prints found at the crime scene. In analyzing the Loyola Rambler’s fingerprints, we found two matches. The right index finger and the right middle finger matched the fingerprints found at the scene. Many minutiae matched. For example, the right middle finger had multiple bridge minutiae in unique places. These bridges were identified in similar places on one print found at the scene. The right index finger also had bifurcations in unique placements. These matched one of the prints found at the scene. Based on this analysis, the suspect who most likely committed the crime was the Loyola Rambler.

All variables are yearly team totals. The dependent variable, W, represents wins. My regressions will estimate the effects of the following independent variables on wins.

The article that I did was “Food is Cheap, At Least compared with 4 years ago” by Dan Charles. This article is about how the global food price index is going down, and has fallen to its lowest level in the last four years. It is saying that a lot of different foods are getting cheaper like grains, vegetable oils, sugar, and dairy products. So that means that CPI should decrease now since a family will be spending less money on those products. The only place where the prices are not falling is in the meat industry especially in the beef industry. That is because the supply for beef was decreased after a drought made the suppliers want to decrease the size of the herd. That in turn caused the producers of the beef to have expectations that the future was going to be bleak for them. So they decided to not spend as much in their planned investments. Now because of these past decisions; when the market rebounded it the supply was down. Another plus in the market that is currently happening in the U.S. right now is that the food industry is having harvests of corn and soybean that will break the records in the overall production and yield per acre. This has caused the grain prices to fall by almost half. This makes the producers of pork, poultry, and beef very happy. Their PPI has gone down, so they are getting their things that they need to feed their animals cheaply. Then they are selling their animals at a very high rate, higher than normal

Prediction: I predict that Jack will do something bad to be August’s friend again. He will do August’s homework for him and when Ms. Rubin finds out about it, Jack lies to the teacher that August did it with Jack again.

In this article Nicholas Kristof, is talking about on how Tyson Foods and other meat factories are harming human health and creating tons of waste around the country. He argues on how companies do not care about the effect of animal growth since speeding up the process for the animals can affect human health. He also states that the farmers struggle to make a living. He states that chicken back then was a “luxury dish more expensive than beef.” Chicken used to cost $6.48 a pound and now it is worth $1.57 a pound, cheaper than before, and that is because the production has increased and so there’s much more chicken available. According to Kristof, the cost went down because “scientific breeding reduced the length of time needed to raise a chicken

Since the maximum value of the predictor variable (calls) is used to formulate the given regression model is 201.00, which is less than 300, we cannot use the given regression model to accurately estimate the weekly sales for weekly call of 300. So we can’t say anything about the weekly sales when weekly calls are 300.

For instance, after research, farmers have found that the most effective way to get a dairy cow to produce more milk is to make them comfortable. Dairy cows now sleep in barns on “sand beds”, they are fed special diets, and they are often cooled off by sprinklers or fans when the temperatures are high. By taking these extra steps to keep the dairy cows comfortable, more milk is produced. Again, the more milk that is produced, the lower the prices. Chickens are another great example. Chickens now live indoors, protected from predators (such as fox, dogs, hawks, coyotes, etc.), and diseases (often spread by wild birds). By living inside, away from predators, chickens are now promised a much longer lifespan, which means they can produce more eggs. (More eggs, lowered egg prices.) Also, being sheltered from diseases, the quality of eggs and meat that are given by these animals ensures healthy substances for the consumers. (The Humane Society of the United