Age (X) | Time (Y) | |
11 | 1851 | |
12 | 984 | |
12 | 841 | |
14 | 1063 | |
14 | 883 | |
14 | 1044 | |
15 | 985 | |
18 | 902 | |
19 | 1040 | |
20 | 918 | |
20 | 976 | |
22 | 728 | |
26 | 859 | |
28 | 960 | |
28 | 893 | |
30 | 709 | |
30 | 786 | |
42 | 463 | |
43 | 560 | |
43 | 791 | |
45 | 591 | |
47 | 440 | |
49 | 258 | |
49 | 250 | |
50 | 480 | |
51 | 919 | |
52 | 262 | |
53 | 184 | |
53 | 231 | |
54 | 246 | |
55 | 205 | |
59 | 163 | |
64 | 300 |
16) Intercept = 1334
17) Slope = -18.613
18) Coefficient of determination = 0.7142
Use Data> Data Analysis> Correlation to compute the correlation checking the Labels checkbox Use ...
A recent article in BusinessWeek listed the “Best Small Companies.” We are interested in the relationship between the companies’ sales and earnings. A random sample of 12 companies wasselected and the sales and earnings, in millions of dollars, are reported below: Company Papa John’s InternationalApplied Innovation Integracare Wall Data Davidson & AssociatesChico’s FAS Checkmate Electronics Royal Grip M-Wave Serving-N-Slide Daig Cobra Golf Sales ($ millions) $29.2 18.6 18.2 71.7 58.6 46.8 17.5 11.9 19.6 51.2 28.6 69.2 Earnings ($ millions)...
For the following data (a) display the data in a scatter plot, (b) calculate the correlation coefficient r, and (c) make a conclusion about the type of correlation. The ages (in years) of 6 children and the number of words in their vocabulary Age, x 1. 2 3 4 5 6 Vocabulary size, y 500 450 1350 1750 2300 2300 (a) Choose the correct scatter plot below. A. B. c. D. 2350+.. 7 2350- 2350- Vocabulary Age Vocabulary Vocabulary ....
For the following data (a) display the data in a scatter plot, (b) calculate the correlation coefficient r, and (c) make a conclusion about the type of correlation. The ages (in years) of 6 children and the number of words in their vocabulary Age, x 1 2 3 4 5 6 Vocabulary size, y 300 450 1500 1500 2300 2400 a Ag Vocab Vocab Vocabi . 2450 Vocabulary Age Age Age (b) The correlation coefficient r is (Round to three...
For the accompanying data set, (a) draw a scatter diagram of the data, (b) by hand, compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. Click here to view the data set. LOADING... Click here to view the critical values table. LOADING... (a) Draw a scatter diagram of the data. Choose the correct graph below. A. 010020xy A scatter diagram has a horizontal x-axis labeled from 0 to 10 in increments of...
• Refer back to the data you worked with in Problems 1-4. Compute the slope and Intercept for the regression line where Client Expectations is the predictor (x) and Client Satisfaction is the criterion variable (Y) (6 pts): b = 0.69 a = 2.55 Regression Equation: Y= 2.55 +0.69x 9) Determine whether the regression equation is statistically significant (a = .05) and complete the source table below (8 pts). Source SS df MS Fobt Significant? (Y/N) Regression Residual Total solution:...
For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y.(a) Draw a scatter diagram of the data. Choose the correct graph below
Assume for a moment that these 20 houses made up the entire population of houses in San Antonio. Use the Data Analysis Sampling function to choose a random sample of 7 house prices from the population. Put a label called "Sample of 7" over the list you create. 4. 3. Highlight all the data, including both Square Footage and Price, and use the Insert Scatter function to create a Scatter Diagram. Change the title and add a linear trend line...
26) A study in transportation safety collected data on 42 North American cities. From each city, two of the variables recorded were X = percentage of licensed drivers who are under 21 years of age, and Y = the number of fatal accidents per year per 1000 licenses. Below is the output from the data: Parameter Intercept Std. Estimate -1.59741 Error 0.371671 T Statistic -4.29792 p-value 0.0001 0.0293898 9.76711 0.0000 Slope 0.287053 Correlation coefficient = 0.839387 R-squared = 70.4571 percent...
(c) Compute the sample correlation coefficient r for each of the following data sets and show that r is the same for both. (Use 3 decimal places.) (a) Look at the data below regarding the variables x = age of a Shetland pony and y = weight of that pony. Is the value of Ir large enough to conclud that weight and age of Shetland ponies are correlated? Use a = 0.05. (Use 3 decimal places.) x y 3 60...
Python Programming language. Complete the problems below using Jupyter Notebook. Problem Needs to be solved from number #1 link provided for the Data: -----> https://docs.google.com/spreadsheets/d/1TqhyxFKQlOHAyXpQBL-4C96kgZFBoMwUgE8-b33CqPQ/edit?usp=sharing PROBLEMS # 0.0 Import the libraries (pandas, matplotlib, and seaborn) Include the code line: %matplotlib inline #Include the code line: plt.style.use(“ggplot”) #Load the data using pandas #Inspect the data using head(), dtypes ANSWERD: import pandas as pd import matplotlib.pyplot as plt import seaborn as sns plt.style.use('ggplot') %matplotlib inline df = pd.read_csv() print(df.head()) print(df.dtypes) # 1...