Pumpkin Lab Report

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

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

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

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.

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.

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.

“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

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

In order to figure out how variables relates to each other and the connections among the variables, or one can predict the other. I will choose three quantitative variables or two quantitative variables and one categorical variable on each pairs. I will also use graphs of scatter plots; regression and correlation to understand that how one variable affect other two variables. There are six groups below:

"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)

In the story of the Call of the Wild there was this dog named Buck. He was a powerful and a civilized dog. He was with his owner named Judge Miller. Buck was living a good life. Until buck was kidnapped by a gardener. He has sold Buck to the dog traders to train Buck to be a sled dog. Buck was beaten and shipped north to the

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

“Designer babies” is an informal term that refers to genetically engineered babies, modified for desirable looks, talents or to eradicate hereditary diseases. This is achieved via Pre-Implantation-Genetic Diagnosis (PGD), where procedures are done on the embryo before being implanted inside the womb through IVF.Though the technology has been around a long time, there has been a lot of controversy surrounding the topic, “partly on ethical grounds”. But is it that bad?

A Doll’s House by Henrik Ibsen is a close examination of prevalent conventional roles of men and women during the 19th century. Many have purported that Torvald receives his comeuppance. To some, Torvald’s use of degrading language and other inappropriate means of engaging in a marital relationship justify Nora’s severe decision to leave her husband. Torvald regards himself as emotionally and intellectually superior to Nora. To him, Nora is someone who must be looked after, instructed and censured.

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.