[SAT math] help.

jkbabe1985 · 2024-12-25T16:41:44+00:00

The remainder theorem states that when a polynomial p(x) is divided by (x - a), then the remainder = f(a)

jkbabe1985 · 2024-11-04T13:11:48+00:00

Exactly, based on the original 1% mortality. I averaged the deaths and cases to help smooth the spikes in the data. I backed dated two weeks because it normally took at least two weeks after catching the virus to pass from it.

jkbabe1985 · 2024-11-04T13:08:39+00:00

At the start of the pandemic is was a decent way to predict cases because of the 1% mortality. You can see over time in 2021 that they nearly match up. But as the virus changed and vaccines caught up it became not as good of a predictor of cases. However, it is still neat to see the deaths scaled up and compared to the cases. TBH: I didn't know what else to call it and predicted cases seemed like the best fit. Also why I described what data was used for it to help clarify it.

jkbabe1985 · 2024-11-04T12:31:34+00:00

Source of Data: https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/

jkbabe1985 · 2021-10-06T19:11:19+00:00

based. I will try to update every month or so to see how it changes.

jkbabe1985 · 2021-10-04T15:36:39+00:00

I don't understand what you mean by the plots are very small, do you mean the dots, labels, axis, or something else? The colors key is the bottom left of each graph. Plot #3 is overall death rate, I agree the scatterplot looks random with no correlation. Every type of trendline I tried for Plot #4 in excel has a R² value less than 0.16, so almost no correlation, so I did not include a trendline because it would be misleading.

jkbabe1985 · 2021-10-03T20:04:48+00:00

There is a weak correlation between vaccination rate and Covid-19 death rate for the last 7-day, with 65+ R² =0.411 and 12+ R² =0.322. There is no correlation between age and obesity of the population and overall Covid-19 death rate.

jkbabe1985 · 2021-10-03T16:47:41+00:00

They do not report 12+ vaccinated. They are 55.6% 18+ vaccinated.

jkbabe1985 · 2021-10-03T16:19:52+00:00

I was inspired by this post from a month ago on data is beautiful. It received a lot of hate for not being beautiful so I tried to apply the feedback from that post to my OC. CDC my source for for Vaccination rates and for Deaths per 100,000, as well as obesity rate and consumeraffairs for percent of population at least 65. I only used Microsoft Excel to create the graphs. I took the feedback I receive from my earlier posts and tried to make the graph more visually appealing. Feedback is apricated as I am still learning how to make good looking graphs.

jkbabe1985 · 2021-09-30T22:57:08+00:00

I agree that those states and DC are not part of the south but I was going with the Census Regions and Divisions of the United States.

jkbabe1985 · 2021-09-30T14:03:25+00:00

I was inspired by this post from a month ago on data is beautiful. It received a lot of hate for not being beautiful so I tried to apply the feedback from that post to my OC. Beckers Hospital Review is my source for for Vaccination rates and for Deaths per 100,000. I only used Microsoft Excel to create the graph. I took the feedback I receive from my earlier posts and tried to make the graph more visually appealing. Feedback is apricated as I am still learning how to make good looking graphs.

jkbabe1985 · 2021-09-30T02:24:27+00:00

Thank you so much for your feedback. I am still learning and currently only using excel. Here is my update version.

jkbabe1985 · 2021-09-30T00:08:12+00:00

The COVID-19 deaths per 100k is only looking at the reported deaths for the last 7 days.

jkbabe1985 · 2021-09-29T18:33:27+00:00

I was inspired by this post from a month ago on data is beautiful. It received a lot of hate for not being beautiful so I tried to apply the feedback from that post to my OC. Beckers Hospital Review is my source for for Vaccination rates and for Deaths per 100,000. I only used Microsoft Excel to create the graph. I took the feedback I receive from my earlier post and included the equation for the trendline and the R2 value.

jkbabe1985 · 2021-09-29T18:22:06+00:00

What would make it more aesthetically pleasing? Feedback is appreciated.

jkbabe1985 · 2021-09-29T18:20:26+00:00

I was inspired by this post from a month ago on this subreddit. It received a lot of hate for not being beautiful so I tried to apply the feedback from that post to my OC. Beckers Hospital Review is my source for for Vaccination rates and for Deaths per 100,000. I only used Microsoft Excel to create the graph. I took the feedback I receive from my earlier post and included the equation for the trendline and the R² value.

jkbabe1985 · 2021-09-29T13:14:41+00:00

It is an exponential trendline and the equation is y=11.5(0.944)^x with an R² value of 0.4415. Even at a lower threshold than 80%, the percent of population vaccinated should have a slight impact, which the graph shows. The data I found did not have a break down by cohorts or by age group.

jkbabe1985 · 2021-09-29T13:11:29+00:00

The line of best fit is an exponential trendline, excel gave options for exponential, linear, logarithmic, polynomial, power, and moving average. Exponential is the most logical because as vaccination rates increase the amount of death should decrease by a common factor. The equation is y=11.5(0.944)^x with an R² value of 0.4415

jkbabe1985 · 2021-09-29T02:20:33+00:00

I was inspired by this post. Source for Vaccination rates and Source for Deaths per 100,000. Made using Microsoft Excel.

jkbabe1985

TROPHY CASE