Need to double-check and expand on few question. Thanks. The following is the data: sodium calories 1 129 317 2 180 555 3 117 265 4 142 369 5 164 523 6 153 391 7 140 394 8 143 472 9 143 501 10 167 434...


Need to double-check and expand on few question. Thanks. The following is the data:













































































































































































































































































sodium




calories




1



129



317




2



180



555




3



117



265




4



142



369




5



164



523




6



153



391




7



140



394




8



143



472




9



143



501




10



167



434




11



117



382




12



140



379




13



158



415




14



135



417




15



130



350




16



210



617




17



149



505




18



161



506




19



132



342




20



122



446




21



161



454




22



166



496




23



102



317




24



119



400




25



112



400




26



207



636




27



183



587




28



151



463




29



152



524




30



178



381




31



96



441




32



176



518




33



163



561




34



145



375




35



196



530




36



114



334




37



179



433




38



160



407




39



160



583




40



156



377




41



92



265




42



145



268




43



148



422




44



122



412




45



204



509




46



108



310




47



116



256




48



138



496




49



91



326




50



155



507




51



173



567



(f) Does the data support the statistical model? Select the appropriate statistical hypotheses.<br>A. Ho : B1 = 0 HẠ : B1 + 0<br>В. Но : В 3D 0 На : Вi > 0<br>С. Но : Во 3 0 На : Во > 0<br>D. Ho : Bo = 0 HẠ : Bo + 0<br>E. Ho : B1 > 0 HẠ : B1 = 0<br>F. Ho : fo = 0 HẠ : Bo < 0<br>G. Но : В 3D 0 На : В <0<br>||<br>(g) Find the value of the test statistic that is based on the random behaviour of B1, and the P-value that is used to test the null hypothesis in part (f) .<br>Test Statistic<br>7.650326<br>(Use three decimals in your answer)<br>P- value = 6.6*10^(-10)<br>(Use SIX decimals in your answer)<br>Need 6 decimals<br>(h) Complete the statement below. In doing so, use three decimals in your answers.<br>I am 95% confidence that as the sodium content of a hot dog wiener increases by 1 milligram, the mean carolic content of the hot dog wiener will<br>increase<br>by somewhere between 1.798<br>calories and 3.0794<br>calories.<br>(i) A particular hot dog wiener has 114 milligrams of sodium. With 95% confidence, estimate the mean carolic content of all hot dog wieners that have 114 milligrams of sodium.Use one decimal in your answers.<br>218.9<br>487.9<br>< HY[X=114 <|<br>

Extracted text: (f) Does the data support the statistical model? Select the appropriate statistical hypotheses. A. Ho : B1 = 0 HẠ : B1 + 0 В. Но : В 3D 0 На : Вi > 0 С. Но : Во 3 0 На : Во > 0 D. Ho : Bo = 0 HẠ : Bo + 0 E. Ho : B1 > 0 HẠ : B1 = 0 F. Ho : fo = 0 HẠ : Bo < 0="" g.="" но="" :="" в="" 3d="" 0="" на="" :="" в=""><0 ||="" (g)="" find="" the="" value="" of="" the="" test="" statistic="" that="" is="" based="" on="" the="" random="" behaviour="" of="" b1,="" and="" the="" p-value="" that="" is="" used="" to="" test="" the="" null="" hypothesis="" in="" part="" (f)="" .="" test="" statistic="" 7.650326="" (use="" three="" decimals="" in="" your="" answer)="" p-="" value="6.6*10^(-10)" (use="" six="" decimals="" in="" your="" answer)="" need="" 6="" decimals="" (h)="" complete="" the="" statement="" below.="" in="" doing="" so,="" use="" three="" decimals="" in="" your="" answers.="" i="" am="" 95%="" confidence="" that="" as="" the="" sodium="" content="" of="" a="" hot="" dog="" wiener="" increases="" by="" 1="" milligram,="" the="" mean="" carolic="" content="" of="" the="" hot="" dog="" wiener="" will="" increase="" by="" somewhere="" between="" 1.798="" calories="" and="" 3.0794="" calories.="" (i)="" a="" particular="" hot="" dog="" wiener="" has="" 114="" milligrams="" of="" sodium.="" with="" 95%="" confidence,="" estimate="" the="" mean="" carolic="" content="" of="" all="" hot="" dog="" wieners="" that="" have="" 114="" milligrams="" of="" sodium.use="" one="" decimal="" in="" your="" answers.="" 218.9="" 487.9="">< hy[x="114"><>
Is there a relationship between the sodium content of a hot dog and the number of calories the hot dog has? To investigate this, a nutritionist randomly picked n =<br>51 hot dog wieners all of which were the same size. For each hot dog wiener the sodium content (in milligrams) was measured and the number of calories each contained, after cooking.<br>The nutritionist wants to estimate the statistical model<br>Y; = fo + B1 X; + e;<br>where Y; represents the caloric content, or the number of calories, of hot dog wiener i, and X; represents the sodium content (in milligrams) of hot dog wiener i.<br>The data appears in the .csv file. Open this file, then copy-and-paste the columns into the statistical software.<br>(a) Using the statistical software, graph the bivariate data. What can you say about nature of the relationship between the sodium content of a hotdog wiener and the caloric content of the hot dog wiener?<br>There is exists a positive<br>relationship between the sodium content of a hotdog wiener and its caloric content.<br>(b) Compute the correlation between a hot dog wieners sodium and caloric content.<br>r =<br>0.737714<br>(use four decimals in your answer)<br>(c) Fill in the blanks to estimate the statistical model. For each field, use three decimals.<br>i =<br>50.20518<br>+ V<br>0.22316<br>X;<br>(d) A residual plot appears below<br>Residual Plot<br>a) common standard deviation in the caloric content regardless of the sodium content<br>b) common standard deviation in the sodium content regardless of the caloric content<br>c) the sodium content in a hot dog wiener is normally distributed<br>c) the caloric content in a hot dog wiener is normally distributed<br>300<br>350<br>400<br>450<br>500<br>550<br>Predicted Values of Y<br>This residual plot is use to check the condition of ?<br>This condition ?<br>appear to hold.<br>а) does<br>b) does not<br>(e) What percent of the variation in the caloric content of a hot dog wiener is explained by its linear relationship with its sodium content? Enter your answer as a %.<br>54.42<br>% (use two decimals)<br>001<br>09<br>001-<br>-150<br>Residuals<br>

Extracted text: Is there a relationship between the sodium content of a hot dog and the number of calories the hot dog has? To investigate this, a nutritionist randomly picked n = 51 hot dog wieners all of which were the same size. For each hot dog wiener the sodium content (in milligrams) was measured and the number of calories each contained, after cooking. The nutritionist wants to estimate the statistical model Y; = fo + B1 X; + e; where Y; represents the caloric content, or the number of calories, of hot dog wiener i, and X; represents the sodium content (in milligrams) of hot dog wiener i. The data appears in the .csv file. Open this file, then copy-and-paste the columns into the statistical software. (a) Using the statistical software, graph the bivariate data. What can you say about nature of the relationship between the sodium content of a hotdog wiener and the caloric content of the hot dog wiener? There is exists a positive relationship between the sodium content of a hotdog wiener and its caloric content. (b) Compute the correlation between a hot dog wieners sodium and caloric content. r = 0.737714 (use four decimals in your answer) (c) Fill in the blanks to estimate the statistical model. For each field, use three decimals. i = 50.20518 + V 0.22316 X; (d) A residual plot appears below Residual Plot a) common standard deviation in the caloric content regardless of the sodium content b) common standard deviation in the sodium content regardless of the caloric content c) the sodium content in a hot dog wiener is normally distributed c) the caloric content in a hot dog wiener is normally distributed 300 350 400 450 500 550 Predicted Values of Y This residual plot is use to check the condition of ? This condition ? appear to hold. а) does b) does not (e) What percent of the variation in the caloric content of a hot dog wiener is explained by its linear relationship with its sodium content? Enter your answer as a %. 54.42 % (use two decimals) 001 09 001- -150 Residuals
Jun 08, 2022
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