{"id":16044,"date":"2023-04-20T15:36:09","date_gmt":"2023-04-20T15:36:09","guid":{"rendered":"https:\/\/www.goodacademic.com\/blog\/questions\/econometrics-take-on-the-impact-of-covid-on-disposable-to-go-containters-at-a-small-business\/"},"modified":"2023-04-20T15:36:09","modified_gmt":"2023-04-20T15:36:09","slug":"econometrics-take-on-the-impact-of-covid-on-disposable-to-go-containters-at-a-small-business","status":"publish","type":"questions","link":"https:\/\/www.goodacademic.com\/blog\/questions\/econometrics-take-on-the-impact-of-covid-on-disposable-to-go-containters-at-a-small-business\/","title":{"rendered":"econometrics take on the impact of covid on disposable to go containters at a small business"},"content":{"rendered":"

This is data from a small fast food business and the data is meant to take a look at the impact of take out out\/disposable containers pricing before and after COVID19. An interpretation of the raw data is provided. The task is to decipher if it is statistically significant by taking a look through an econometrician perspective. <\/p>\n

 <\/div>\n
Interpret the data by doing the D-Stats (mean, variance, minimum maximum). Along with the Dependent Variable and the Independent variable Discreet\/continuous. <\/div>\n
 <\/div>\n
An analysis is needed to see the viability of the data provided and if there is significance showing an in crease in pricing from before and after covid.<\/div>\n
 <\/div>\n
The top row on the excel sheet explaining what each column represents from left to right is:m as follows:<\/div>\n
Items Desc – the types of to go containers that are repeated every year to see the pricing increase<\/div>\n
FY – fiscal year<\/div>\n
$\/case – is the cost per case <\/div>\n
Q\/case – the number of units in a case (example: the number of paper plates in one case)<\/div>\n
$Each – is the cost per individual item in a case<\/div>\n
Consumer Price Index – is self explanatory<\/div>\n
CPI Away Food – Consumer price index of away food (that is food that is prepared out of the household)<\/div>\n
Made in the US – if the product is made in the us as 1 means yes and 0 means no<\/div>\n
Logo – if the product is customized and has the logo of the business on the packaging 1 means yes and 0 means no<\/div>\n
Retail price – is how much the item is sold to the customer (DEPENDENT VARIABLE)(gross)<\/div>\n
Profit of each – is the amount of money that is made from the item (net) (***if this is better as the depended variable please state that and say why)This is data from a small fast food business and the data is meant to take a look at the impact of take out out\/disposable containers pricing before and after COVID19. An interpretation of the raw data is provided. The task is to decipher if it is statistically significant by taking a look through an econometrician perspective. <\/div>\n
 <\/div>\n
Interpret the data by doing the D-Stats (mean, variance, minimum maximum). Along with the Dependent Variable and the Independent variable Discreet\/continuous. <\/div>\n
 <\/div>\n
An analysis is needed to see the viability of the data provided and if there is significance showing an in crease in pricing from before and after covid.<\/div>\n
 <\/div>\n
The top row explaining what each column represents from left to right is:m as follows:<\/div>\n
Items Desc – the types of to go containers that are repeated every year to see the pricing increase<\/div>\n
FY – fiscal year<\/div>\n
$\/case – is the cost per case <\/div>\n
Q\/case – the number of units in a case (example: the number of paper plates in one case)<\/div>\n
$Each – is the cost per individual item in a case<\/div>\n
Consumer Price Index – is self explanatory<\/div>\n
CPI Away Food – Consumer price index of away food (that is food that is prepared out of the household)<\/div>\n
Made in the US – if the product is made in the us as 1 means yes and 0 means no<\/div>\n
Logo – if the product is customized and has the logo of the business on the packaging 1 means yes and 0 means no<\/div>\n
Retail price – is how much the item is sold to the customer (DEPENDENT VARIABLE)(gross)<\/div>\n
Profit of each – is the amount of money that is made from the item (net) (***if this is better as the depended variable please state that and say why)<\/div>\n","protected":false},"excerpt":{"rendered":"

This is data from a small fast food business and the data is meant to take a look at the impact of take out out\/disposable containers pricing before and after COVID19. An interpretation of the raw data is provided. The task is to decipher if it is statistically significant by taking a look through an […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[710],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/16044"}],"collection":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/comments?post=16044"}],"version-history":[{"count":0,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/16044\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/media?parent=16044"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/disciplines?post=16044"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/paper_types?post=16044"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/tagged?post=16044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}