SALES represents the number sales made this week.CALLS represents the number of sales calls made thi

SALES represents the number sales made this week.CALLS represents the number of sales calls made this week.TIME represents the average time per call this week.YEARS represents years of experience in the call center.TYPE represents the type of training the employee receivedFor each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.Analyze the connections or relationships between the variables. There are ten (10) possible pairings of two (2) variables. Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, whereas others do not.SALESCALL Inc. has thousands of salespeople throughout the country. A sample of 100 salespeople is selected, and data is collected on the following variables.1. SALES (the number of sales made this week)2. CALLS (the number of sales calls made this week)3. TIME (the average time per call this week)4. YEARS (years of experience in the call center)5. TYPE (the type of training, either group training, online training of no training).385px; overflow: hidden; word-break: break-word; color: rgb(61, 61, 61); height: 11463px;”>Sales (Y)48324447414632464233425042414144364738216745523733314444394342494140373646414942373721394449354643 Calls (X1)171139165186180184120172161143181148140198149168121149135185155149193159152170192165150174168178164191132140171170153154142130177160134131130183169 Time (X2)13.016.915.713.514.012.719.914.713.215.411.516.017.513.217.311.018.015.818.518.917.913.513.718.115.014.316.712.415.312.716.415.117.819.010.015.714.912.319.014.313.916.917.014.319.414.619.415.414.0 Years (X3)5433253313402205211211503413320335015032320451445 TypeONLINENONEONLINEONLINEONLINEONLINENONEGROUPGROUPNONEONLINENONEGROUPONLINEONLINEONLINENONEGROUPGROUPONLINENONEONLINEONLINENONEGROUPGROUPGROUPONLINEGROUPONLINEONLINEONLINEGROUPONLINENONENONEONLINEONLINEGROUPGROUPNONENONEONLINENONEGROUPGROUPNONEONLINEGROUP 4148394048504443333246485644344333495052454835444467514140454140474842412948334845364342495042444548 155182140157167144168175150155163162189153158160173178189184174188149159160166178178176138159145151186194152145188139201156131161152178157154156170170 16.013.012.415.414.815.812.413.614.917.916.614.515.015.314.210.917.518.314.311.413.613.615.614.614.818.916.513.412.615.318.814.716.614.213.614.519.011.319.312.513.218.517.314.616.415.915.320.014.217.4 22113225212432341214201221121222212422313231231015 ONLINEONLINENONEONLINEONLINENONEGROUPGROUPGROUPGROUPONLINEGROUPONLINEONLINEONLINEONLINEONLINEGROUPONLINEONLINEONLINEONLINEGROUPGROUPONLINEGROUPONLINEONLINEONLINENONEONLINENONEGROUPONLINEONLINEGROUPNONEONLINEGROUPONLINEGROUPNONEONLINEONLINEONLINEGROUPGROUPONLINEONLINEONLINE 39 144 17.7 3 NONE

 

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