1. How might you use a trend line to make a prediction about an outcome? Identify the variables and explain the rationale for using the trend line to predict the outcome.
2. a scenario where the Spearman correlation would be appropriate to use in calculating the strength of the relationship between two variables. Identify the variables and explain the rationale for your answer. What makes this scenario different from the scenario in the previous question?
As per HomeworkLib policy we need to solve one question per post. Please post the remaining questions in another post.
1. How might you use a trend line to make a prediction about an outcome? Identify...
PLEASE HELP ITS DO TODAY!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 1. How might you use a trend line to make a prediction about an outcome? Identify the variables and explain the rationale for using the trend line to predict the outcome. 2. a scenario where the Spearman correlation would be appropriate to use in calculating the strength of the relationship between two variables. Identify the variables and explain the rationale for your answer. What makes this scenario different from the scenario in the previous question?
PLEASE HELP!!!!!!!...... I HAVE ALSO ATTACHE THE LINK THAT QUESTING ONE IS TALKING ABOUT THANKS See the Washington Post article link: https://www.washingtonpost.com/news/food/wp/2017/06/16/those-french-fries-could-kill-you-a-new-study-says-but-dont-panic/?noredirect=on&utm_term=.4b2068acfb53 1. Researchers have collected data that shows a relationship between eating french fries and the risk of premature death. (See the Washington Post article ) Is it safe to assume, on the basis of these data, that eating french fries leads to premature death? Explain the rationale for your answer and include at least two alternative explanations for the...
4. Can we use the regression line to make reliable prediction of the number of deaths per 100,000? (Is there a significant correlation between the two factors?) a. Find the p-value for a hypothesis test to if there is significant correlation b. At the 5% significance level, what can you conclude about the correlation? C. Can we use the regression line to make reliable predictions? 5. Predict the number of deaths for ages 40 and 60 (use the midpoint when...
3. In a National Football League (NFL) regular season, each team plays 16 games. Let " wins" be the number of regular season wins by a team in a particular season (taking a tie as half a win.) Since on average teams win half their games, the distribution of team wins has mean 8. Assume the distribution of team wins stays about the same from year to year. There is a positive correlation between a team's wins one year and...
1. If you were to graph a time series and it followed a trend that was close to linear, then what type of forecasting model would you use? Multiple Choice Bass model Bivariate linear regression Simple moving average Gompertz curve 2. Visualization of data allows you to ____________________. Multiple Choice be as transparent to management as required more clearly identify the dependent and independent variables better understand if you need more data see stark differences that would not be apparent...
Which team statistic is the best variable to use to predict a team's winning percentage? One pitching, one fielding, and one hitting statistic was measured for each major league baseball team at the end of the 2019 season. The dataset is called "2019 MLB Team Statistics. The three explanatory variables as follows. Earned Run Average (ERA): a pitching statistic Fielding %: a fielding statistic Home Runs: a hitting statistic Wis Loss Win Loss 054 Eamed Run Arome 0978 09892098409609 Fielding...
Use the same data set for particle board stiffness as in question 3 Density Stiffness Temp 9.5 14.81 70.6 8.4 17.50 73.3 9.8 14.01 66.2 11 19.44 70.1 8.3 7.57 69.3 9.9 14.19 69.1 8.6 9.71 69.8 6.4 8.08 64.4 7 5.30 65.4 8.2 10.73 67.8 17.4 43.24 69.7 15 25.32 66.9 15.2 28.03 71.5 16.4 41.79 66.6 16.7 49.50 68.0 15.4 25.31 64.3 15 26.22 64.5 14.5 22.15 71.3 14.8 26.75 69.6 13.6 18.04 71.1 25.6 96.31 72.1 24.4...
SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data for “Hours of Exercise” and “Life Satisfaction.” (0 = Not at all satisfied). Provide an APA-style results section write – up. (b) Graph the relationship. HINT: Below you will find instructions for the APA-style write-up. Complete the write-up on a word document and upload the file for submission. Hours of Exercise Life Satisfaction 2 6 0 2 5 13 6 15 1 3 2...
Spring 2019 Name, 33) If the 2 variables that we want to study are not mumeric, which method will we use to study their association? a) z2 table and calculations e) Normal distributions b) correlation and regression d) hon-linear correlation 34) If there is a high correlation between variables, the causality relationship between therm a) x causes y b) coincidence e) x and y are caused by a third variable(s) d) all of these are possibilities For items 35)-36): Suppose...
How does the fuel consumption of a car change as its speed increases? The table contains data for a 2014 Chevrolet Cruze Turbo Diesel. Speed is measured in miles per hour, and fuel consumption is measured in miles per gallon. Speed 10 20 30 40 50 60 70 80 Fuel 38.1 54.0 68.4 63.6 60.5 55.4 50.6 43.8 To access the complete data set, click the link for your preferred software format: Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT...