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There are two student post on reliable website post a respond to them.
A website that I commonly visit is the Dailywire.com which is an American conservative news and opinion website founded by political commentator Ben Shapiro and reports on current political and social events. I have come to know Ben Shapiro through the years as he has appeared on many television news and talk shows. I believe this website to be a reliable source of information because in it, as they report on whatever news item is being discussed they will include along with their commentary the source of the information, which for the most part is other news sources such as CNN, MCNBC, NYT, Washington Post, etc.
Some practical strategies for testing the reliability of evidence online is to go through the pages of every search site because as have been proven by research, the first page of every search engine will only contain a one-sided bipartisan list of sources that depending on the nature of the search will be completely skewed. Therefore, go past the first page, dig deeper into the subsequent pages and unleash all the other sources that World Wide Web wants to hide from you.
Other means of testing reliability is which position the evidence best supports, which sources of evidence and opinion are most reliable while also whether or not the search result is accurate and complete. Know the difference between an attack and support. monica post
CNN is a website that I been used for a long time and is my preferred place to look for news even on the TV. CNN offers worldwide communication in English and Spanish. The website covers information from general political news to entertainment and sports. Their website looks professional and easy to navigate. The site also has a 24-hour broadcast. CNN founder is Ted Turner. He is a businessman and is well known for the 1 billion dollar donation to the United Nations.
Are you confident you know who the author is?
Every story posted by CNN News is authored, and they provide verifiable and credible information. The information is continuously updated to maintain the audience informed of the latest events. In my opinion, there is no hidden agenda behind the source. The information is gathered from professionals and experts in the topics.
How reliable is the information on the website?
The information on the website is reliable. The stories are listed with authors, and they are willing to stand behind their story. All the news presented on the website include date and is continuously updated. The sources and references are cited and easy to find. The writing style is impeccable and easy to understand.
What are some practical strategies for testing the reliability of evidence online?
Some practical strategies for testing the reliability of evidence online is evaluated the source weakness and strengths, and the reliability. The reliability of the source means if the article or the website is unfairly or against someone or something. We need to corroborate the validity and accuracy of the information and look if the authors of the report are experts on the topic. Another way to test the reliability is to see what the authors’ professionals credentials are, and the references used to support the information, and if the author cites their references. Soleam post
discussion 2
Choose any two classmates and review their main posts.
- Review the student’s regression equation (include it in your post). What is the independent variable name? (The answer is not “x” 🙂 What is the dependent variable name? Choose any other value for the independent variable (represented by the letter x in the equation) and plug that value in to solve for an estimate of the dependent variable (y in the equation). Show all steps and work.
- Review the correlation (r value) that the student calculated between the two variables. Is this correlation strong, medium, or weak and why? Based on the correlation strength, do you think that the regression equation will offer a fair estimate? Why or why not?
The data set she have chosen is Male Health Data. The two variables she have chosen to compare are weight (lbs.) and waist (in.) The R value for these two variables is: 0.956092 This is a strong positive correlation.
I used the x value of 134 (weight) to find y. The equation was y=0.3022(134) +2.1796
With this equation she found the value of y to be: 42.6744 Attached is Denna scatterplot along with the equation.
I have attach Jola discussion 6 word doc and discussion 6 excel to review and respond too.
Sheet1
Male Health Data
119.96226420000001 135.0044268 141.19131909999999 119.22340389999999 142.28929690000001 114.4375618 139.1223177 135.58635469999999 135.8082393 122.9209881 122.06009539999999 124.8414934 127.225424 123.840 89109999999 118.7168471 136.3587775 119.9469526 122.6357484 136.0056878 128.89569359999999 137.83491950000001 122.9765491 139.068039 137.8156712 133.7541994 138.76177480000001 119.75264660000001 125.184156 119.8783387 140.4206092 145.3173396 122.3573772 142.6854621 143.74413480000001 145.843414 127.2613503 123.5906377 145.91798059999999 118.9596816 137.250652 38.433652180000003 43.255973959999999 45.624743100000003 37.253182459999998 45.598719490000001 36.88444913 45.032341340000002 42.349801380000002 42.840190839999998 39.834869099999999 39.59747187 38.637281489999999 41.29002337 39.557648110000002 38.183893560000001 42.387276960000001 38.214214329999997 39.515691859999997 43.550812219999997 42.900475040000003 44.41314088 37.822132699999997 45.607338759999998 45.551081840000002 43.155114709999999 44.106740930000001 37.340144479999999 40.59829938 38.442786699999999 43.58904613 45.877517249999997 37.579955120000001 44.28848301 44.736077809999998 45.841451880000001 42.34511732 40.17630243 45.377223729999997 38.303467159999997 42.844168519999997
WEIGHT (lbs.)
WAIST ( in.)
1.
Choose any Excel Discussion dataset. Include the name of the dataset. From that dataset, select any two quantitative variables that you suspect will be related (such as age and height for example). What is the name of the dataset you have chosen? Which two variables did you choose? I chose the Female Health Data set. The variables I chose was weight and
BMI
.
2. Next, using Excel, calculate the relationship (r value) between the two variables. Recall that the Excel “formula” for correlation is “=CORREL.” What is the r value for the two variables that you have chosen? Is it positive or negative? Is it strong, medium, or weak? Note that it is best to have an r value that is medium or strong. It is recommended that you try a few different variables until you find two variables with an r value between .5 and 1 (or between -.5 and -1). Using Excel to calculate for my r and r squared I obtained an r value of 0.936 and an r squared of .876. This is a strong positive correlation.
3. Next, use Excel to create a scatterplot for the two variables. You decide which variable will be dependent (y) and which will be independent (x). On the scatterplot, include the “trendline” and the “equation for the line” using Excel options. Attach your scatterplot to your post.
4. Finally, using the equation of the line that you generated above, plug in any reasonable value for x (your chosen independent variable) and solve the equation for y (your chosen dependent variable). It is up to you to determine which of your two variables is x and which is y. What prediction do you get? Show all your work. In other words, type out the equation, plug in a value for x, and show your solution for y.
Using the equation y = .1534x + 3.309 and a weight of 140 pounds (x) I would expect a BMI of:
.1534(140) + 3.309 = 24.785
114.8 149.30000000000001 107.8 160.1 127.1 123.1 111.7 156.30000000000001 218.8 110.2 188.3 105.4 136.1 182.4 238.4 108.8 119 161.9 174.1 181.2 124.3 255.9 106.7 149.9 163.1 94.3 159.69999999999999 162.80000000000001 130 179.9 147.80000000000001 112.9 195.6 124.2 135 141.4 123.9 135.5 130.4 100.7 19.600000000000001 23.8 19.600000000000001 29.1 25.2 21.4 22 27.5 33.5 20.6 29.9 17.7 24 28.9 37.700000000000003 18.3 19.8 29.8 29.7 31.7 23.8 44.9 19.2 28.7 28.5 19.3 31 25.1 22.8 30.9 26.5 21.2 40.6 21.9 26 23.5 22.8 20.7 20.5 21.9
Weight
BMI
>Sheet1
FEMALE ID #
AGE
HEIGHT
WEIGHT
WAIST
PULSE
CHOL
BMI
.3
.2
4
.6
515816
39
.3
.93
6
25
.3
19.6 4.6
62.3
93 60
5
86
27
.6
72 98
January
8
29
.1
68 62
25
22
.3
64 89
5.5 March
68
February
32
68
5 January
31 66.7
80
5.2
19
76 44
4.8
19
.1
68 8
5.1 March
23 66.7
72
.9
January
126
5.4 February
51
23
72 62
5.2 January
27
.1
74.5 68 98
45
72
5 April 98.84
41
64
4.7 NA
56
80
5.4 May
22
.3
64
23.8 5
63.4
80
5.6 February 98.90
24
76
5
3
37
98 76
5.1 August 98.90
59
76
5.1 March
40
80 94
February 98.69
45
104
31 5.2
88
5.3 NA
31 63.4 130 74.5 60 123
5.1 April
32
76
5 January
23
72
26.5 4.9
99.05
23
72 223
4.7 December
47
105.5 88
5.5 March 98.81
36
80 146
4.7 May
34
85.7 60 149 26 5.2 February
37 65
92.8 72 149
4.8 May 98.75
28
88
22.8 5 March 98.89
29 68
88
4.9 NA
48 67
124
5.3 November
25 57 100.7
64 2 21.9 4.6 June 98.88
114.8 149.30000000000001 107.8 160.1 127.1 123.1 111.7 156.30000000000001 218.8 110.2 188.3 105.4 136.1 182.4 238.4 108.8 119 161.9 174.1 181.2 124.3 255.9 106.7 149.9 163.1 94.3 159.69999999999999 162.80000000000001 130 179.9 147.80000000000001 112.9 195.6 124.2 135 141.4 123.9 135.5 130.4 100.7 19.600000000000001 23.8 19.600000000000001 29.1 25.2 21.4 22 27.5 33.5 20.6 29.9 17.7 24 28.9 37.700000000000003 18.3 19.8 29.8 29.7 31.7 23.8 44.9 19.2 28.7 28.5 19.3 31 25.1 22.8 30.9 26.5 21.2 40.6 21.9 26 23.5 22.8 20.7 20.5 21.9
Weight
BMI
