Exponential, Or Cubic) Do You Believe Will Best Fit The Data?

1. Use the graph below to predict what the results will look like if the null hypothesis is

5. Restate your predictions that were correct and give the data from your experiment that supports them. Restate your predictions that were not correct and correct them, giving the data from your experiment that supports the correction.

Introduction: Today scientists put acquired data into a form of a graph. This said graph is designed to help make predictions and furthermore, study and understand the experiment and its contents at hand. The Graphing and Estimating lab involves just that. The lab is designed to collect data from several tests involving burn time of a candle.

Present all relevant data in a data table below. Include an observations section for any observations you made during the lab. Make sure you note the data needs to be converted before graphing.

Use the full data set that you uploaded to answer all questions. Be sure to include the graph for ALL questions.

6. Restate your predictions that were correct and give the data from your experiment that supports them. Restate your predictions

For the first five data point, the value of exponential model is close to the actual value. However, the exponential model didn’t work well for the

9) Since you are plotting displacement on the y-axis and time on the x-axis, this is an example

I would use a bar graph because it would be easy to follow and understand the information presented.

I would use a line because it would show the lineage of the GPA for each semester and it would show a pattern on reasons for the drops of increases in GPA.

7. The data set for this problem can be found through the Pearson Materials in the Student Textbook Resource Access link,

29. A distribution center for a chain of electronics supply stores fills and ships orders to retail outlets. A random sample of orders is selected as they are received and the dollar amount of the order (in thousands of dollars) is recorded, and then the time (in hours) required to fill the order and have it ready for shipping is determined. A scatterplot showing the times as the response variable and the dollar amounts (in thousands of dollars) as the predictor shows a linear trend. The least squares regression line is determined to be: yˆ= 0.76 +1.8x. A plot of the residuals versus the dollar amounts showed no pattern, and the following values were reported: Correlation r +0.90; R 2 = 0.81; standard deviation of the residuals is 0.48. What percentage of the variation in the times required to prepare an order for shipping is accounted for by the fitted line?

However, in order to find a linear slope of a parabolic curve, the mathematical equation of distance/time^2 ( pertaining to the data as cm/s^2) is used to produce the linearization of the distance-time graph. A linear distance-time graph is the equivalent of a velocity-time graph by identifying the slope of the distance-time graph. Another best fit line (a linear trendline) was plotted within the newly charted velocity-time graph. The equation identified through the trendline was Velocity=808.578cm/s^2 (t) +44.450 cm/s. The 44.450cm/s represents the point in which the linear data crosses the y-axis as the y-intercept. Additionally, the 808.578cm/s^2 represents the slope of the velocity-time graph in which the acceleration can be

    The scatter plot will allow us to compare how the variables arrange themselves on the graph and how the linear, quadratic, and power functions correspond to the data on the graph.

* Given linear and exponential data, interpret the rate of change within the given context.