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An insurance compary is interested in determining whether life insurance covernge is influenced linearly by dispusable income; A randamily chosen sample of size $20$ producod the data shown in the table below. Construct a seatterplat with a trend line. What conclusions can yau draw?

Disposablelncome $($ $ thousands$)$ Life Insurance Coverage $($ $ thousands$)$

$\backslash$table$[[45,60],[40,58],[65,100],[50,50],[70,120],[75,140],[70,100],[40,50],[50,70],[45,60],[65,80],[60,90],[45,50],[40,50],[55,70],[55,60],[60,80],[1,120],[45,50],[65,70]]$

Table below shows the inside diameter $($in milimeters$)$ af metal sleeves producnd in a machine shop for $100$ randomly selected parts. Twenty samples, rach of size $$,$ were taken. Simply looking at the data below table provides little insight about the process. Please provide the histogram and your explanation $($how the sample distributed?$)$

Sample

Obsorvations $[$Five per Sample$]$

$\backslash$table$[[1,50\mathrm{.}05,50\mathrm{.}03,50\mathrm{.}02,50,49\mathrm{.}94],[2,49\mathrm{.}96,49\mathrm{.}99,50\mathrm{.}03,50\mathrm{.}01,49\mathrm{.}98],[3,50\mathrm{.}01,50\mathrm{.}01,50\mathrm{.}01,50,49\mathrm{.}92],[4,49\mathrm{.}95,49\mathrm{.}97,50\mathrm{.}02,50\mathrm{.}1,50,02],[5,50,50\mathrm{.}01,50,50,50,09],[6,50\mathrm{.}02,$so$\mathrm{.}05,49\mathrm{.}97,50\mathrm{.}02,50,09],[7,50\mathrm{.}01,49\mathrm{.}99,49\mathrm{.}95,49\mathrm{.}99,50],[8,50\mathrm{.}02,50,50\mathrm{.}04,50,02,50],[9,50\mathrm{.}06,49\mathrm{.}93,49\mathrm{.}99,49\mathrm{.}99,49\mathrm{.}95],[10,49\mathrm{.}96,49\mathrm{.}93,50\mathrm{.}08,49\mathrm{.}92,50\mathrm{.}03],[11,50\mathrm{.}01,49\mathrm{.}96,49\mathrm{.}98,50,50\mathrm{.}02],[12,50,04,49\mathrm{.}94,50,50\mathrm{.}03,49\mathrm{.}92],[13,49\mathrm{.}97,49\mathrm{.}9,49\mathrm{.}98,50\mathrm{.}01,49\mathrm{.}95],[14,49\mathrm{.}98,50\mathrm{.}01,49\mathrm{.}95,49,97,49\mathrm{.}94],[15,49\mathrm{.}97,49\mathrm{.}98,50,03,50,08,49\mathrm{.}96],[16,49\mathrm{.}98,50,49\mathrm{.}97,49\mathrm{.}96,49,97],[17,50\mathrm{.}03,50,04,50\mathrm{.}03,50\mathrm{.}01,50\mathrm{.}01],[18,49\mathrm{.}98,49\mathrm{.}98,49,99,50\mathrm{.}05,50],[19,50\mathrm{.}07,50,50\mathrm{.}02,49\mathrm{.}99,49,93],[20,49\mathrm{.}99,50,06,49\mathrm{.}95,49\mathrm{.}99,50\mathrm{.}02]]$