Which is the line of best fit for the data shown in the table?

The rows of data set represent observations true of false

Please help me

Which point would most likely be considered an outlier if it was added to the data in the table? (2,19),(5,11),(7,14) or (10,22)

On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below. league price wins cost/win team Arizona Diamondbacks NL 19.68 90 35.40 Atlanta Braves NL 17.07 84 32.89 Chicago Cubs NL 34.30 85 65.33 cincinnati Reds NL 17.90 72 40.32 Colorado Rockies NL 14.72 90 26.67 Florida Marlins NL 16.70 71 38.13 Houston Astros NL 26.66 73 59.11 Los Angeles Dodgers 20.09 82 34.64 NL Milwaukee Brewers NL 18.11 83 35.37 N.Y. Mets NL 25.28 88 46.56 Philadelphia Phillies 26.73 89 48.69 NL Pittsburgh Pirates NL 17.08 68 40.67 San Diego Padres NL 20.83 89 38.15 San Francisco Giants NL 24.53 71 56.00 St. Louis Cardinals NL 29.78 78…

On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below. team league  price    wins  cost/win Arizona Diamondbacks NL 19.68 90 35.40 Atlanta Braves NL 17.07 84 32.89 Chicago Cubs NL 34.30 85 65.33 Cincinnati Reds NL 17.90 72 40.32 Colorado Rockies NL 14.72 90 26.67 Florida Marlins NL 16.70 71 38.13 Houston Astros NL 26.66 73 59.11 Los Angeles Dodgers NL 20.09 82 34.64 Milwaukee Brewers NL 18.11 83 35.37 N.Y. Mets NL 25.28 88 46.56 Philadelphia Phillies   NL 26.73 89 48.69 Pittsburgh Pirates NL 17.08 68 40.67 San Diego Padres NL 20.83 89 38.15 San Francisco Giants NL 24.53 71…

As the leader of the sales team, you would like to increase the revenue brought by your team. You discovered a program for sales personnel that supposedly improve interpersonal skills and thus help settle deals with customers more often. You decide to send8 of your sales people for the training, and compare the amount they brought in sales in the month before they went and in the month after they received the training. The data are: Xbefore: 400, 300, 1200, 2100, 700, 450, 650, 3400 Xafter: 1000, 400, 1000, 2500, 1200, 600, 800, 3000 A. Identify the appropriate statistical measure to use. B. Conduct the test. Make a decision about the null hypothesis, interpret your results and calculate effect size if applicable. At ?=.05, can you report to upper management that the training worked? Or was it a waste of money? C. Calculate 95% confidence intervals for the estimate of the difference.

Identify the type of data that would be used when the variable of interest is most-watched TV show.

Find the 5 number summary for the data shown 10 17 40 41 46 52 53 59 65 98 5 number summary: IQR: }¯ The 1.5 x IQR rule states that values between and are likely not outliers.

The following data are the ages (in years) of 17 economics teachers in a school district. 51, 46, 47, 48, 36, 27, 55, 34, 58, 50, 23, 51, 35, 37, 38, 49, 56 Send data to calculator Using the tool provided, construct a box-and-whisker plot for the data. ? H+HHH +++++++ +H +++++++D 20 25 30 35 40 45 50 55 60 Age of economics teacher (in years)