Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value State your conclusion. Reject Ho. We conclude...


Find the value of the test statistic. (Round your answer to two decimal places.)<br>Find the p-value. (Round your answer to three decimal places.)<br>p-value<br>State your conclusion.<br>Reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant.<br>Reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.<br>Do<br>reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant.<br>Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.<br>0'<br>

Extracted text: Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value State your conclusion. Reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant. Reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. Do reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant. Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. 0'
Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes.<br>Brand<br>Weight<br>Price ($)<br>A<br>17.8<br>2,100<br>В<br>16.1<br>6,350<br>C<br>14.9<br>8,370<br>15.9<br>6,200<br>E<br>17.2<br>4,000<br>13.1<br>8,500<br>G<br>16.2<br>6,000<br>17.1<br>2,480<br>I<br>17.6<br>3,300<br>14.1<br>8,000<br>These data provided the estimated regression equation ŷ = 28,532 – 1,438x. For these data, SSE = 7,779,221.53 and SST = 52,710,800. Use the F test to determine whether the weight for a bike<br>and the price are related at the 0.05 level of significance.<br>%3D<br>State the null and alternative hypotheses.<br>Ho: Bo + 0<br>Ha: Bo<br>= 0<br>O Ho: Bo = 0<br>Ha: Bo + 0<br>O Hoi Bq = 0<br>H: B1 + 0<br>O Ho: Bq z 0<br>Ha: B1 < 0<br>O Ho: Bq # 0<br>Ha: B1 = 0<br>

Extracted text: Consider the following data on x = weight (pounds) and y = price ($) for 10 road-racing bikes. Brand Weight Price ($) A 17.8 2,100 В 16.1 6,350 C 14.9 8,370 15.9 6,200 E 17.2 4,000 13.1 8,500 G 16.2 6,000 17.1 2,480 I 17.6 3,300 14.1 8,000 These data provided the estimated regression equation ŷ = 28,532 – 1,438x. For these data, SSE = 7,779,221.53 and SST = 52,710,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance. %3D State the null and alternative hypotheses. Ho: Bo + 0 Ha: Bo = 0 O Ho: Bo = 0 Ha: Bo + 0 O Hoi Bq = 0 H: B1 + 0 O Ho: Bq z 0 Ha: B1 < 0="" o="" ho:="" bq="" #="" 0="" ha:="" b1="">

Jun 08, 2022
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