On the following pages you are presented with five problems. Your job is to examine the output and discuss whether there is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. As you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write narate document or next to the problems on this one.

You have the following two data points for a process undergoing learning: Y3 = 50 and Y7 = 35 What is the best equation to use for prediction? Group of answer choices Yx = 84.2 x-0.2324 Yx = 77.6 x-0.5323 Yx = 79.4 x-0.4210 Yx = 80.7 x-0.3365 insufficient information

Answer the following table

The following data represents the winning percentage (the number of wins out of 162 games in a season) as well as the teams Earned Run Average, or ERA.The ERA is a pitching statistic. The lower the ERA, the less runs an opponent will score per game. Smaller ERA's reflect (i) a good pitching staff and (ii) a good team defense. You are to investigate the relationship between a team's winning percentage - Y, and its Earned Run Average (ERA) - X. Winning Proportion - Y Earned Run Average (ERA) - X 0.623457 3.13 0.512346 3.97 0.635802 3.68 0.604938 3.92 0.518519 4.00 0.580247 4.12 0.413580 4.29 0.407407 4.62 0.462963 3.89 0.450617 5.20 0.487654 4.36 0.456790 4.91 0.574047 3.75 (b) Use R-Studio to find the least squares estimate of the linear model that expressed a teams winning percentage as a linear function of is ERA. Use four decimals in each of your answers.Y^i = ? + - Xi(e) A certain professional baseball team had an earned run average of 3.45 this past…

3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…

Researchers Holdgate et al. (2016) studied walking behavior of elephants in North American zoos to see if there is a difference in average distance traveled by African and Asian elephants. They put GPS loggers on 33 African elephants and 23 Asian elephants and measured the distance (in kilometers) the elephants walked per day. The data in the file below Elephants contains results that are consistent with what the researchers found: Species Distance: African 6.12 African 3.65 African 4.26 African 3.8 African 5.23 African 5.02 African 5.17 African 5.37 African 4.89 African 6.4 African 6.42 African 6.85 African 3.38 African 7.71 African 4.02 African 3.52 African 5.81 African 5.83 African 7.02 African 6.11 African 4.62 African 5.54 African 3.2 African 5.49 African 5.47 African 6.97 African 3.74 African 3.04 African 7.84 African 8.62 African 7.63 African 5.25 African 4.19 Asian 1.39 Asian 2.59 Asian 8.03 Asian 7.93 Asian 0.33 Asian 8.22 Asian 6.95 Asian 2.39 Asian 3.89 Asian 10.53 Asian…

Suppose that, as part of a research methods class, Bailey was asked to write a summary of a research paper on the topic of the effects of visitor traffic on the relative humidity in bat caves.                        Identify the explanatory and the response variables.                                                                                                                                                                                                                                                         The number of visitors and the relative humidity are the response variables. The number of visitors is the response variable, and the relative humidity is the explanatory variable. The number of visitors and the relative humidity are the explanatory variables. The number of visitors is the explanatory variable, and the relative humidity is the response variable.

Provide an appropriate response. Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework and exam grade, which is more naturally the response variable and which is the explanatory variable? O Time spent on homework: response variable Exam grade: explanatory variable O Time spent on homework: explanatory variable Exam grade: response variable

Below you will find a research scenarios.  Your task is to identify the proposed analysis and why you chose that analysis for each of these scenarios.  State the research question that aligns with the scenario and the analysis.  Next run the appropriate analyses and report your findings in APA Research scenario 2: Historians are interested in the accuracy of eyewitness accounts of traumatic events. One study examined survivors' recall of the sinking of the ship Titanic (Riniolo, Koledin, Drakulic, & Payne, 2003). The researchers reviewed the transcripts of survivors' testimony at governmental hearings (www.titanicinquiry.org) to see whether they testified that the ship was intact or breaking apart during the ship's final plunge (it was in fact breaking apart). To test for eyewitness accuracy, testimony of 20 survivors was examined to see if there was an equal likelihood of survivors saying the ship was intact or breaking apart. Datafile: titanic.xlsx Your response should contain…

For the following situations, identify the test you would run to analyze the data: A marketing firm producing costumes is interested in studying consumer behavior in the context of purchase decision of costumes in a specific market. This company is a major player in the costume market that is characterized by intense competition. The company would like to know in particular whether the income level of the consumers (measured as lower, middle, upper middle, and upper class) influences their choice of costume type. They are specifically focused on four types of costumes (funny costumes, scary costumes, clever costumes, and boring costumes).   a. Chi-Square Goodness of Fit b. Frequencies c. Descriptive Statistics d. Chi-Square of Independence