Draw a scatter plot with Razor Price on the X-axis and demand for razors, blades and shaving foam on the Y-axis. Add a trendline to each plot. Based on the trendline, demand for which product is (a)...

data Razor PriceRazorBlade_newShaving Form $9.3039167490 $9.10418690100 $8.50459731115 $9.5042468981 $8.7044775089 $9.7038364692 $9.8039966096 $8.8044072966 $8.6043671574 $9.6041370762 $8.2042871564 $8.00479754101 $8.1046276769 $9.8038767877 $8.90454708114 $9.4041867388 $8.30447751107 $9.60442732102 $9.9038166495 $9.3040166268 $8.1046874970 $8.7042869164 $8.10480753115 $8.1043670670 $8.5047474376 $8.1048779393 $8.8045975473 $9.5042171276 $9.5040167192 $8.9042068667 $8.10435744104 $8.8045872592 $10.0037963487 $9.4042669698 $8.20443745111 $8.10483785101 $8.7040971882 $9.7040668085 $8.00454739104 $8.5046872480 $8.8042171363 $9.1040467573 $9.9038765074 $8.9041267674 $10.0040067484 $9.5041870967 $8.5044174888 $9.1040969986 $8.8044371471 $9.3042570194 $8.7044573967 $8.5046774293 $8.5047373771 $8.8043771896 $8.1044571771 $10.0038063965 $10.00415661104 $9.1043069177 $8.60433709100 $9.6039568883 $9.30423695106 $8.2046376193 $8.7043670174 $9.5039465483 $9.5041270882 $9.5041671271 $9.2041971867 $9.7042968199 $9.9040967178 $8.6041570766 $8.5043770992 $9.9041766963 $9.6044170988 $8.50421693101 $8.2043670874 $9.30447723103 $9.1041667671 $10.0041568662 $8.9044773872 $9.0045973278 $9.5042569077 $9.3043268986 $8.1043773366 $8.6042370993 $8.40459723110 $8.4047372995 $9.2043770396 $9.4041368578 $9.6044170966 $9.0041468879 $8.4045575673 $8.7042371372 $8.7041970580 $9.2040870173 $9.9039869072 $8.5042172284 $8.90451746108 $9.2042469368 $9.4041068782 $8.0045072272 $9.90415701104 $8.4046073797 $8.5046476397 $8.9043973197 $9.1043773574 $8.30459766101 $9.80433717100 $8.3043271373 $9.2043171586 $8.9041769675 $9.8038063895 $9.9042369589 $8.6043170386 $8.7045174995 $8.10474739119 $9.3041369166 $8.6043170386 $9.6038765477 $9.7040465877 $9.8042467989 $9.4039166470 $9.4044670798 $9.9042268572 $10.00415665104 $9.9042269889 $8.3046072197 $9.1044473767 $8.3043473287 $8.2043072195 $9.0041168162 $9.1043670478 $9.3043268991 $9.4043068290 $9.9042567998 $9.4040067560 $8.90448725103 $9.6039465587 $8.30434728109 $8.5044874999 $10.0039267198 $8.9040767290 $8.6045374291 $8.5046272483 $9.4041069190 $8.50468738108 $9.0042770798 $9.3044573089 $9.9038266557 $9.40434719104 $9.4042670094 $8.8044874976 $9.0040369964 $9.0041368787 $8.40420727101 $9.8040466473 $8.10483741106 $9.20454725114 $9.1043271065 $10.0038664397 $9.0040266796 $8.1046873989 $9.6040067696 $8.7041970563 $9.0040867986 $8.7045273690 $8.9041071686 $9.7039568759 $9.9043069669 $9.7038867374 $9.3039366867 $8.20473751118 $8.8046571788 $9.7039565187 $8.0043170891 $9.0045271377 $9.6039766695 $8.1044675489 $9.5040868461 $9.8043071469 $8.7041469375 $9.5041867292 $8.50447753103 $9.4040468681 $9.9040866261 $8.0045773682 $9.5042168293 Sheet1 SUMMARY OUTPUT Regression Statistics Multiple R0.7118620803 R Square0.5067476214 Adjusted R Square0.5040669019 Standard Error17.4186729903 Observations186 ANOVA dfSSMSFSignificance F Regression157354.894542923157354.8945429231189.03418689224.74970288741835E-30 Residual18455827.4710484748303.4101687417 Total185113182.365591398 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept695.87414329319.490695197435.70288982741.19221131317778E-84657.4201605387734.3281260473657.4201605387734.3281260473 X Variable 1-29.59454400362.1524916525-13.74897039394.74970288741842E-30-33.841282052-25.3478059552-33.841282052-25.3478059552 Sheet2 Sheet3