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. O Do not reject Ho. We...


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>O Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.<br>O Reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant.<br>O Do not reject Ho: We conclude that the relationship between weight (pounds) and price ($) is significant.<br>O Reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.<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. O Do not reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant. O Reject Ho. We conclude that the relationship between weight (pounds) and price ($) is significant. O Do not reject Ho: We conclude that the relationship between weight (pounds) and price ($) is significant. O Reject Ho. We cannot conclude that the relationship between weight (pounds) and price ($) is significant.
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>16.1<br>6,150<br>14.9<br>8,370<br>15.9<br>6,200<br>17.2<br>4,000<br>13.1<br>8,600<br>G<br>16.2<br>6,000<br>H<br>17.1<br>2,680<br>I<br>17.6<br>3,300<br>14.1<br>8,000<br>These data provided the estimated regression equation ŷ = 28,608 – 1,442x. For these data, SSE = 6,655,076.17 and SST = 51,845,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance.<br>State the null and alternative hypotheses.<br>O Ho: B, 20<br>H: Bq < 0<br>O Ho: B1# 0<br>H: B, = 0<br>O Ho: B1 = 0<br>Hi B1 * 0<br>O Ho: Bo = 0<br>H3: Bo # 0<br>O Ho: Bo * 0<br>Hg: Bo = 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 16.1 6,150 14.9 8,370 15.9 6,200 17.2 4,000 13.1 8,600 G 16.2 6,000 H 17.1 2,680 I 17.6 3,300 14.1 8,000 These data provided the estimated regression equation ŷ = 28,608 – 1,442x. For these data, SSE = 6,655,076.17 and SST = 51,845,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance. State the null and alternative hypotheses. O Ho: B, 20 H: Bq < 0="" o="" ho:="" b1#="" 0="" h:="" b,="0" o="" ho:="" b1="0" hi="" b1="" *="" 0="" o="" ho:="" bo="0" h3:="" bo="" #="" 0="" o="" ho:="" bo="" *="" 0="" hg:="" bo="">

Jun 08, 2022
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