Pumpkin Lab Report

“If you have ever slept on an island you will never be quite the same” (Unknown). I have slept on an island and it truly has changed who I am today.  This little island is called Pumpkin Knob and sits in Casco Bay, Maine.  It is a place that has inspired and moved me to see life in a different perspective.  It all started back when I was three months old, on July fourth weekend, and ever since then my family and I have traveled the distance to stay on our little island of Pumpkin Knob.  Till this day I  do not know why this place has changed me so, maybe its that every year the island has changed itself.  The newly grown lilies in the garden, the freshly trimmed grass, the overgrown bushes on the trails or maybe it’s the new faces I see

17 In regression analysis, the coefficient of determination R2 measures the amount of variation in y

The Barbie Bungee lab was conducted in order to find the association between the amount of rubber bands and the distance the Barbie bungeed. Before performing the final experiment, the group conducted an initial investigation to get data that could be analyzed to examine the comparison from the amount of rubber bands to the length Barbie was able to bungee. In the investigation rubber bands would gradually be added one by one starting at two rubber bands. Each time a rubber band was added, three trial bungees were done and the lengths the barbie dropped were recorded. Using data collected from our background investigation, the group used excel to create a sheet displaying the data in a table, a graph showing the correlation constant, the line of best fit. The line of best fit was in slope-intercept form (y=mx+b) where y represents the length of the trial average; m represents the slope

The lab uses the measurements of a wooden dowel in length and diameter to collect data in order to interpret data in report form. The data is used to produce statistical data and how to correctly present it. A ruler and micrometer were used to measure the dimensions. Spreadsheets are then constructed in order to generate standard deviation, mean, median, mode, frequency, as well as variation of length, diameter, volume, and cross sectional area of the

Beets also known as Beta Vulgaris, contain a pigment known as betacyanin that gives the beets its deep rich red color, it is water soluble and is stored in the vacuoles of the beet roots and stems. Because the betacyanin is a water soluble pigment is can not easily cross the cell membranes.

It is interesting to notice how Sandra Cisneros uses the image of pain in her

A researcher found a significant relationship between a person's age, a, the number of hours a person works per week, b, and the number of accidents, y, the person has per year. The relationship can be represented by the multiple regression equation y = -3.2 + 0.012a + 0.23b. Predict the number of accidents per year (to the nearest whole number) for a person whose age is 42 and who works 46 hours per week.

A bit of wind did not stop over 200 people from visiting the Norman Farm Market’s second annual teal trick-or-treat night Tuesday evening. The event, which took place during the market’s typical Tuesday hours, was an inclusive Halloween celebration for kids of all ages.

The owners of the farm have found a correlation between the weight of a cow, and the cost of feeding it, in

Today I went to the Lantern for the first time. When we arrived and signed in we were told to just go hang out in the living room area and talk to the residents that Cathy would be there around three. We got to talk with the residents and paint pumpkins. The residents are a true blessing.

the correlation is 0.668; the equation of regression is CREDITS=11.7475*AGE-174.356; the slope is 11.7475 which is positive; when the predictor variable AGE increase, the response variable CREDITS also strongly increase; for instance, when AGE increase by 1, the CREDITS will increase 11.7475. There are some outliers may affect the correlation. Based on the graphs and data above, we can find out a student who is older with a litter lower GPA, but has very higher credits; the student with higher credits also has high GPA.

If you're looking for a good pumpkin, then don't choose me. I mean, who wants a pumpkin with three flaws. I wouldn't want to get a pumpkin with these flaws. The flaws I have are bad. I have holes, i'm smelly, and I am square.

"There are several different kinds of relationships between variables. Before drawing a conclusion, you should first understand how one variable changes with the other. This means you need to establish how the variables are related - is the relationship linear or quadratic or inverse or logarithmic or something else" ("Relationship Between Variables ", n.d)

Figure 2 illustrates the relationship between FVC and height of college aged students. The correlation coefficient for FVC and height is R2 = 0.3107; a perfect correlation is R2 = 1 and no correlation is R2 = 0. This shows that there is a weak correlation, or association, between FVC and height.

Biostatistics is important to study as undergraduates delve deeper into their studies of Biology and learn how the study of life is integrated into more than just their college-level science courses. Looking into the use of statistics at a scientific level at this stage of our education is preparing determined and enthusiastic students for the world of medicine as one day we will have to read and analyze sets of data and more than likely give the statistics of our patients’ issues. Biostatistics is allowing students to explore the world of medicine using a different approach, mathematically and critically. The purpose of this experiment was to determine if a significant multiple regression exists between my 3 quantitative variables, Weight, Height and Age and to determine the best regression model to use when making predictions.